diff --git a/GETTING_STARTED.md b/GETTING_STARTED.md index 0c11c1756..f62daa589 100644 --- a/GETTING_STARTED.md +++ b/GETTING_STARTED.md @@ -15,7 +15,7 @@ python2 tools/infer_simple.py \ --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \ --output-dir /tmp/detectron-visualizations \ --image-ext jpg \ - --wts https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \ + --wts https://dl.fbaipublicfiles.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \ demo ``` @@ -37,7 +37,7 @@ This example shows how to run an end-to-end trained Mask R-CNN model from the mo ``` python2 tools/test_net.py \ --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \ - TEST.WEIGHTS https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \ + TEST.WEIGHTS https://dl.fbaipublicfiles.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \ NUM_GPUS 1 ``` @@ -47,7 +47,7 @@ Running inference with the same model using `$N` GPUs (e.g., `N=8`). python2 tools/test_net.py \ --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml \ --multi-gpu-testing \ - TEST.WEIGHTS https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \ + TEST.WEIGHTS https://dl.fbaipublicfiles.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \ NUM_GPUS $N ``` diff --git a/MODEL_ZOO.md b/MODEL_ZOO.md index b177e317b..75e80bf62 100644 --- a/MODEL_ZOO.md +++ b/MODEL_ZOO.md @@ -37,15 +37,15 @@ All models available for download through this document are licensed under the [ The backbone models pretrained on ImageNet are available in the format used by Detectron. Unless otherwise noted, these models are trained on the standard ImageNet-1k dataset. -- [R-50.pkl](https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl): converted copy of MSRA's original ResNet-50 model -- [R-101.pkl](https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl): converted copy of MSRA's original ResNet-101 model -- [X-101-64x4d.pkl](https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl): converted copy of FB's original ResNeXt-101-64x4d model trained with Torch7 -- [X-101-32x8d.pkl](https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl): ResNeXt-101-32x8d model trained with Caffe2 at FB -- [X-152-32x8d-IN5k.pkl](https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl): ResNeXt-152-32x8d model **trained on ImageNet-5k** with Caffe2 at FB (see our [ResNeXt paper](https://arxiv.org/abs/1611.05431) for details on ImageNet-5k) +- [R-50.pkl](https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl): converted copy of MSRA's original ResNet-50 model +- [R-101.pkl](https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl): converted copy of MSRA's original ResNet-101 model +- [X-101-64x4d.pkl](https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl): converted copy of FB's original ResNeXt-101-64x4d model trained with Torch7 +- [X-101-32x8d.pkl](https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl): ResNeXt-101-32x8d model trained with Caffe2 at FB +- [X-152-32x8d-IN5k.pkl](https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl): ResNeXt-152-32x8d model **trained on ImageNet-5k** with Caffe2 at FB (see our [ResNeXt paper](https://arxiv.org/abs/1611.05431) for details on ImageNet-5k) #### Log Files -[Training and inference logs](https://s3-us-west-2.amazonaws.com/detectron/logs/model_zoo_12_2017_baseline_logs.tgz) are available for most models in the model zoo. +[Training and inference logs](https://dl.fbaipublicfiles.com/detectron/logs/model_zoo_12_2017_baseline_logs.tgz) are available for most models in the model zoo. ## Proposal, Box, and Mask Detection Baselines @@ -84,7 +84,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - 51.6 35998355 -model | props: 1, 2, 3 +model | props: 1, 2, 3 R-50-FPN @@ -100,7 +100,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - 57.2 35998814 -model | props: 1, 2, 3 +model | props: 1, 2, 3 R-101-FPN @@ -116,7 +116,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - 58.2 35998887 -model | props: 1, 2, 3 +model | props: 1, 2, 3 X-101-64x4d-FPN @@ -132,7 +132,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - 59.4 35998956 -model | props: 1, 2, 3 +model | props: 1, 2, 3 X-101-32x8d-FPN @@ -148,7 +148,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - 59.5 36760102 -model | props: 1, 2, 3 +model | props: 1, 2, 3 @@ -195,7 +195,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36224013 -model | boxes +model | boxes R-50-C4 @@ -211,7 +211,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36224046 -model | boxes +model | boxes R-50-FPN @@ -227,7 +227,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36225147 -model | boxes +model | boxes R-50-FPN @@ -243,7 +243,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36225249 -model | boxes +model | boxes R-101-FPN @@ -259,7 +259,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36228880 -model | boxes +model | boxes R-101-FPN @@ -275,7 +275,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36228933 -model | boxes +model | boxes X-101-64x4d-FPN @@ -291,7 +291,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36226250 -model | boxes +model | boxes X-101-64x4d-FPN @@ -307,7 +307,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36226326 -model | boxes +model | boxes X-101-32x8d-FPN @@ -323,7 +323,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 37119777 -model | boxes +model | boxes X-101-32x8d-FPN @@ -339,7 +339,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 37121469 -model | boxes +model | boxes R-50-C4 @@ -355,7 +355,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36224121 -model | boxes | masks +model | boxes | masks R-50-C4 @@ -371,7 +371,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36224151 -model | boxes | masks +model | boxes | masks R-50-FPN @@ -387,7 +387,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36225401 -model | boxes | masks +model | boxes | masks R-50-FPN @@ -403,7 +403,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36225732 -model | boxes | masks +model | boxes | masks R-101-FPN @@ -419,7 +419,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36229407 -model | boxes | masks +model | boxes | masks R-101-FPN @@ -435,7 +435,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36229740 -model | boxes | masks +model | boxes | masks X-101-64x4d-FPN @@ -451,7 +451,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36226382 -model | boxes | masks +model | boxes | masks X-101-64x4d-FPN @@ -467,7 +467,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36672114 -model | boxes | masks +model | boxes | masks X-101-32x8d-FPN @@ -483,7 +483,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 37121516 -model | boxes | masks +model | boxes | masks X-101-32x8d-FPN @@ -499,7 +499,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 37121596 -model | boxes | masks +model | boxes | masks @@ -544,7 +544,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35857197 -model | boxes +model | boxes R-50-C4 @@ -560,7 +560,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35857281 -model | boxes +model | boxes R-50-FPN @@ -576,7 +576,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35857345 -model | boxes +model | boxes R-50-FPN @@ -592,7 +592,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35857389 -model | boxes +model | boxes R-101-FPN @@ -608,7 +608,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35857890 -model | boxes +model | boxes R-101-FPN @@ -624,7 +624,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35857952 -model | boxes +model | boxes X-101-64x4d-FPN @@ -640,7 +640,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35858015 -model | boxes +model | boxes X-101-64x4d-FPN @@ -656,7 +656,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35858198 -model | boxes +model | boxes X-101-32x8d-FPN @@ -672,7 +672,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36761737 -model | boxes +model | boxes X-101-32x8d-FPN @@ -688,7 +688,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36761786 -model | boxes +model | boxes R-50-C4 @@ -704,7 +704,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35858791 -model | boxes | masks +model | boxes | masks R-50-C4 @@ -720,7 +720,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35858828 -model | boxes | masks +model | boxes | masks R-50-FPN @@ -736,7 +736,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35858933 -model | boxes | masks +model | boxes | masks R-50-FPN @@ -752,7 +752,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35859007 -model | boxes | masks +model | boxes | masks R-101-FPN @@ -768,7 +768,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35861795 -model | boxes | masks +model | boxes | masks R-101-FPN @@ -784,7 +784,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35861858 -model | boxes | masks +model | boxes | masks X-101-64x4d-FPN @@ -800,7 +800,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36494496 -model | boxes | masks +model | boxes | masks X-101-64x4d-FPN @@ -816,7 +816,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 35859745 -model | boxes | masks +model | boxes | masks X-101-32x8d-FPN @@ -832,7 +832,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36761843 -model | boxes | masks +model | boxes | masks X-101-32x8d-FPN @@ -848,7 +848,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36762092 -model | boxes | masks +model | boxes | masks @@ -894,7 +894,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36768636 -model | boxes +model | boxes R-50-FPN @@ -910,7 +910,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36768677 -model | boxes +model | boxes R-101-FPN @@ -926,7 +926,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36768744 -model | boxes +model | boxes R-101-FPN @@ -942,7 +942,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36768840 -model | boxes +model | boxes X-101-64x4d-FPN @@ -958,7 +958,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36768875 -model | boxes +model | boxes X-101-64x4d-FPN @@ -974,7 +974,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36768907 -model | boxes +model | boxes X-101-32x8d-FPN @@ -990,7 +990,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36769563 -model | boxes +model | boxes X-101-32x8d-FPN @@ -1006,7 +1006,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 36769641 -model | boxes +model | boxes @@ -1048,7 +1048,7 @@ The backbone models pretrained on ImageNet are available in the format used by D - - 37129812 -model | boxes | masks +model | boxes | masks [above without test-time aug.] @@ -1122,7 +1122,7 @@ Our keypoint detection baselines differ from our box and mask baselines in a cou - 64.0 35998996 -model | props: 1, 2, 3 +model | props: 1, 2, 3 R-101-FPN @@ -1138,7 +1138,7 @@ Our keypoint detection baselines differ from our box and mask baselines in a cou - 65.2 35999521 -model | props: 1, 2, 3 +model | props: 1, 2, 3 X-101-64x4d-FPN @@ -1154,7 +1154,7 @@ Our keypoint detection baselines differ from our box and mask baselines in a cou - 65.9 35999553 -model | props: 1, 2, 3 +model | props: 1, 2, 3 X-101-32x8d-FPN @@ -1170,7 +1170,7 @@ Our keypoint detection baselines differ from our box and mask baselines in a cou - 66.2 36760438 -model | props: 1, 2, 3 +model | props: 1, 2, 3 @@ -1217,9 +1217,9 @@ Our keypoint detection baselines differ from our box and mask baselines in a cou 64.1 - 37651787 -model | boxes | model | boxes | kps @@ -1236,9 +1236,9 @@ l/generalized_rcnn/keypoints_keypoints_coco_2014_minival_results.json">kps65.5 - 37651887 -model | boxes | model | boxes | kps @@ -1255,9 +1255,9 @@ ival/generalized_rcnn/keypoints_keypoints_coco_2014_minival_results.json">kps65.0 - 37651996 -model | boxes | model | boxes | kps @@ -1274,9 +1274,9 @@ ival/generalized_rcnn/keypoints_keypoints_coco_2014_minival_results.json">kps66.0 - 37652016 -model | boxes | model | boxes | kps @@ -1293,9 +1293,9 @@ minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival_results.json">kps 66.7 - 37731079 -model | boxes | model | boxes | kps @@ -1312,9 +1312,9 @@ ints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival_re 67.1 - 37731142 -model | boxes | model | boxes | kps @@ -1331,9 +1331,9 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 66.2 - 37730253 -model | boxes | model | boxes | kps @@ -1350,9 +1350,9 @@ ints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival_re 67.0 - 37731010 -model | boxes | model | boxes | kps @@ -1400,7 +1400,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 64.2 - 37697547 -model | boxes | kps +model | boxes | kps R-50-FPN @@ -1416,7 +1416,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 65.4 - 37697714 -model | boxes | kps +model | boxes | kps R-101-FPN @@ -1432,7 +1432,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 64.8 - 37697946 -model | boxes | kps +model | boxes | kps R-101-FPN @@ -1448,7 +1448,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 65.8 - 37698009 -model | boxes | kps +model | boxes | kps X-101-64x4d-FPN @@ -1464,7 +1464,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 66.0 - 37732355 -model | boxes | kps +model | boxes | kps X-101-64x4d-FPN @@ -1480,7 +1480,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 66.8 - 37732415 -model | boxes | kps +model | boxes | kps X-101-32x8d-FPN @@ -1496,7 +1496,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 66.0 - 37792158 -model | boxes | kps +model | boxes | kps X-101-32x8d-FPN @@ -1512,7 +1512,7 @@ ypoints_coco_2014_minival/generalized_rcnn/keypoints_keypoints_coco_2014_minival 67.0 - 37732318 -model | boxes | kps +model | boxes | kps diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_1x.yaml index 5af86ab6f..e1fcfb6bd 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_1x.yaml @@ -21,7 +21,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_2x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_2x.yaml index dfd7f8fab..1daebf83d 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_R-101-FPN_2x.yaml @@ -21,7 +21,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_1x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_1x.yaml index a7d6301f2..0f8c5d413 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_1x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_1x.yaml @@ -18,7 +18,7 @@ FAST_RCNN: ROI_BOX_HEAD: ResNet.add_ResNet_roi_conv5_head ROI_XFORM_METHOD: RoIAlign TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_2x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_2x.yaml index 2f5ff49d4..9825b9374 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_2x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-C4_2x.yaml @@ -18,7 +18,7 @@ FAST_RCNN: ROI_BOX_HEAD: ResNet.add_ResNet_roi_conv5_head ROI_XFORM_METHOD: RoIAlign TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml index fdb5b7fdb..0f557d81d 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_1x.yaml @@ -21,7 +21,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml index 1aa2e4f62..ea98e5b80 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml @@ -21,7 +21,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_1x.yaml index b26fc8f56..c9d770f9d 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_1x.yaml @@ -27,7 +27,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml index 320226aa0..1291192cf 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-32x8d-FPN_2x.yaml @@ -27,7 +27,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml index 972b5fbed..43fb04260 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_1x.yaml @@ -27,7 +27,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml index 00e956265..a7bb0f9c9 100644 --- a/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_faster_rcnn_X-101-64x4d-FPN_2x.yaml @@ -28,7 +28,7 @@ FAST_RCNN: ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_1x.yaml index a5108d143..6e63f595e 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_1x.yaml @@ -35,7 +35,7 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_s1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_s1x.yaml index 22345b49f..8c744ad83 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_s1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-101-FPN_s1x.yaml @@ -35,7 +35,7 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_1x.yaml index 81767bb9f..5a419fab6 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_1x.yaml @@ -35,7 +35,7 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_s1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_s1x.yaml index 00fd8d694..5b82e7679 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_s1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_R-50-FPN_s1x.yaml @@ -35,7 +35,7 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_1x.yaml index 189a3a139..1d48ad744 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_1x.yaml @@ -40,7 +40,7 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml index 06ce51054..a26c1c577 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml @@ -40,7 +40,7 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_1x.yaml index f02720a55..99d9f381a 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_1x.yaml @@ -41,7 +41,7 @@ KRCNN: KEYPOINT_CONFIDENCE: bbox TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml index 48ff13e9f..5ee7541cd 100644 --- a/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml +++ b/configs/12_2017_baselines/e2e_keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml @@ -41,7 +41,7 @@ KRCNN: KEYPOINT_CONFIDENCE: bbox TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_1x.yaml index 53836d55c..65bf94123 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_1x.yaml @@ -30,7 +30,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml index eccf54901..71e57bc24 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_R-101-FPN_2x.yaml @@ -30,7 +30,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_1x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_1x.yaml index 65e50de65..73b86edff 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_1x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_1x.yaml @@ -26,7 +26,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default: GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_2x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_2x.yaml index 65af6e492..3326f2fc0 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_2x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-C4_2x.yaml @@ -26,7 +26,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default: GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_1x.yaml index e4d266ba1..e773ed282 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_1x.yaml @@ -30,7 +30,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml index df3bb6842..bf572b78d 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml @@ -30,7 +30,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_1x.yaml index 54f52df0e..141efe4a1 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_1x.yaml @@ -36,7 +36,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_2x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_2x.yaml index 9d2d0e83f..54610bb6d 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-32x8d-FPN_2x.yaml @@ -36,7 +36,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_1x.yaml index 5cd2c4f5e..afef7c3f4 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_1x.yaml @@ -37,7 +37,7 @@ MRCNN: CONV_INIT: MSRAFill # default GaussianFill TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_2x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_2x.yaml index 42bf2a78e..a73115ec5 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_2x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_X-101-64x4d-FPN_2x.yaml @@ -37,7 +37,7 @@ MRCNN: CONV_INIT: MSRAFill # default GaussianFill TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/e2e_mask_rcnn_X-152-32x8d-FPN-IN5k_1.44x.yaml b/configs/12_2017_baselines/e2e_mask_rcnn_X-152-32x8d-FPN-IN5k_1.44x.yaml index b69aeb859..06bdbbd16 100644 --- a/configs/12_2017_baselines/e2e_mask_rcnn_X-152-32x8d-FPN-IN5k_1.44x.yaml +++ b/configs/12_2017_baselines/e2e_mask_rcnn_X-152-32x8d-FPN-IN5k_1.44x.yaml @@ -36,7 +36,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/25093814/X-152-32x8d-IN5k.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (640, 672, 704, 736, 768, 800) # Scale jitter MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/fast_rcnn_R-101-FPN_1x.yaml index d79659a33..feca5812f 100644 --- a/configs/12_2017_baselines/fast_rcnn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_R-101-FPN_1x.yaml @@ -20,15 +20,15 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_R-101-FPN_2x.yaml b/configs/12_2017_baselines/fast_rcnn_R-101-FPN_2x.yaml index 7b41292f2..619991633 100644 --- a/configs/12_2017_baselines/fast_rcnn_R-101-FPN_2x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_R-101-FPN_2x.yaml @@ -20,15 +20,15 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_R-50-C4_1x.yaml b/configs/12_2017_baselines/fast_rcnn_R-50-C4_1x.yaml index 03610a5b4..796a6f724 100644 --- a/configs/12_2017_baselines/fast_rcnn_R-50-C4_1x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_R-50-C4_1x.yaml @@ -17,16 +17,16 @@ FAST_RCNN: ROI_BOX_HEAD: ResNet.add_ResNet_roi_conv5_head ROI_XFORM_METHOD: RoIAlign TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_R-50-C4_2x.yaml b/configs/12_2017_baselines/fast_rcnn_R-50-C4_2x.yaml index 8726fc67c..5f356deaa 100644 --- a/configs/12_2017_baselines/fast_rcnn_R-50-C4_2x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_R-50-C4_2x.yaml @@ -17,16 +17,16 @@ FAST_RCNN: ROI_BOX_HEAD: ResNet.add_ResNet_roi_conv5_head ROI_XFORM_METHOD: RoIAlign TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/fast_rcnn_R-50-FPN_1x.yaml index 16a91e261..6173e2789 100644 --- a/configs/12_2017_baselines/fast_rcnn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_R-50-FPN_1x.yaml @@ -20,15 +20,15 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_R-50-FPN_2x.yaml b/configs/12_2017_baselines/fast_rcnn_R-50-FPN_2x.yaml index 60ec5e5b6..4a5f4b6a8 100644 --- a/configs/12_2017_baselines/fast_rcnn_R-50-FPN_2x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_R-50-FPN_2x.yaml @@ -20,15 +20,15 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_1x.yaml index 9ecfb5d44..77c871f63 100644 --- a/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_1x.yaml @@ -26,16 +26,16 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_2x.yaml b/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_2x.yaml index a7dcdc967..62b1d8ade 100644 --- a/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_2x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_X-101-32x8d-FPN_2x.yaml @@ -26,16 +26,16 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_1x.yaml index 628ba9a5b..299ebb455 100644 --- a/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_1x.yaml @@ -26,16 +26,16 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_2x.yaml b/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_2x.yaml index b7c8a5e67..76acbff3f 100644 --- a/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_2x.yaml +++ b/configs/12_2017_baselines/fast_rcnn_X-101-64x4d-FPN_2x.yaml @@ -26,16 +26,16 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_1x.yaml index 04eaa7379..176693937 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_1x.yaml @@ -34,15 +34,15 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_s1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_s1x.yaml index 254d99a03..8cabcf7b4 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_s1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_R-101-FPN_s1x.yaml @@ -34,15 +34,15 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999521/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml.08_20_33.1OkqMmqP/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_1x.yaml index 33ff1f838..24c68dd89 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_1x.yaml @@ -34,15 +34,15 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml index 0db637c5b..88277a590 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml @@ -34,15 +34,15 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_1x.yaml index ff18ca393..cf4834c7c 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_1x.yaml @@ -39,15 +39,15 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml index 601628bd3..a612c807f 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_X-101-32x8d-FPN_s1x.yaml @@ -39,15 +39,15 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760438/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml.06_04_23.M2oJlDPW/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_1x.yaml index 97caa9968..7585ff882 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_1x.yaml @@ -40,15 +40,15 @@ KRCNN: KEYPOINT_CONFIDENCE: bbox TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml b/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml index 10922ed65..d5dde541f 100644 --- a/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml +++ b/configs/12_2017_baselines/keypoint_rcnn_X-101-64x4d-FPN_s1x.yaml @@ -40,15 +40,15 @@ KRCNN: KEYPOINT_CONFIDENCE: bbox TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35999553/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml.08_21_33.ghFzzArr/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/mask_rcnn_R-101-FPN_1x.yaml index b0a8da411..ecab453c3 100644 --- a/configs/12_2017_baselines/mask_rcnn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_R-101-FPN_1x.yaml @@ -29,15 +29,15 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_R-101-FPN_2x.yaml b/configs/12_2017_baselines/mask_rcnn_R-101-FPN_2x.yaml index f94f69382..620891c2d 100644 --- a/configs/12_2017_baselines/mask_rcnn_R-101-FPN_2x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_R-101-FPN_2x.yaml @@ -29,15 +29,15 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998887/12_2017_baselines/rpn_R-101-FPN_1x.yaml.08_07_07.vzhHEs0V/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_R-50-C4_1x.yaml b/configs/12_2017_baselines/mask_rcnn_R-50-C4_1x.yaml index d4975a792..1b360dc9e 100644 --- a/configs/12_2017_baselines/mask_rcnn_R-50-C4_1x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_R-50-C4_1x.yaml @@ -25,16 +25,16 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default: GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_R-50-C4_2x.yaml b/configs/12_2017_baselines/mask_rcnn_R-50-C4_2x.yaml index 8ecea9de8..ffbb8c63c 100644 --- a/configs/12_2017_baselines/mask_rcnn_R-50-C4_2x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_R-50-C4_2x.yaml @@ -25,16 +25,16 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default: GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_train/rpn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_valminusminival/rpn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998355/12_2017_baselines/rpn_R-50-C4_1x.yaml.08_00_43.njH5oD9L/output/test/coco_2014_minival/rpn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/mask_rcnn_R-50-FPN_1x.yaml index a5f83b48e..c5c48ee56 100644 --- a/configs/12_2017_baselines/mask_rcnn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_R-50-FPN_1x.yaml @@ -29,15 +29,15 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_R-50-FPN_2x.yaml b/configs/12_2017_baselines/mask_rcnn_R-50-FPN_2x.yaml index 9897935c6..eaf081ba7 100644 --- a/configs/12_2017_baselines/mask_rcnn_R-50-FPN_2x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_R-50-FPN_2x.yaml @@ -29,15 +29,15 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998814/12_2017_baselines/rpn_R-50-FPN_1x.yaml.08_06_03.Axg0r179/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_1x.yaml index c9a981bf7..4acce002c 100644 --- a/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_1x.yaml @@ -35,16 +35,16 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_2x.yaml b/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_2x.yaml index 0d2c1ad01..2a018c1a3 100644 --- a/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_2x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_X-101-32x8d-FPN_2x.yaml @@ -35,16 +35,16 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/36760102/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml.06_00_16.RWeBAniO/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_1x.yaml index a3bd73edc..3a184876e 100644 --- a/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_1x.yaml @@ -36,16 +36,16 @@ MRCNN: CONV_INIT: MSRAFill # default GaussianFill TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_2x.yaml b/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_2x.yaml index c33efc606..41b5f69b8 100644 --- a/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_2x.yaml +++ b/configs/12_2017_baselines/mask_rcnn_X-101-64x4d-FPN_2x.yaml @@ -36,16 +36,16 @@ MRCNN: CONV_INIT: MSRAFill # default GaussianFill TRAIN: # md5sum of weights pkl file: aa14062280226e48f569ef1c7212e7c7 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (800,) MAX_SIZE: 1333 IMS_PER_BATCH: 1 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998956/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml.08_08_41.Seh0psKz/output/test/coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_R-101-FPN_1x.yaml b/configs/12_2017_baselines/retinanet_R-101-FPN_1x.yaml index 265d08d02..965b6cb69 100644 --- a/configs/12_2017_baselines/retinanet_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/retinanet_R-101-FPN_1x.yaml @@ -26,7 +26,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_R-101-FPN_2x.yaml b/configs/12_2017_baselines/retinanet_R-101-FPN_2x.yaml index 8ea9e1f28..8b76f3e8f 100644 --- a/configs/12_2017_baselines/retinanet_R-101-FPN_2x.yaml +++ b/configs/12_2017_baselines/retinanet_R-101-FPN_2x.yaml @@ -26,7 +26,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_R-50-FPN_1x.yaml b/configs/12_2017_baselines/retinanet_R-50-FPN_1x.yaml index 19f296625..d896f539f 100644 --- a/configs/12_2017_baselines/retinanet_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/retinanet_R-50-FPN_1x.yaml @@ -26,7 +26,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_R-50-FPN_2x.yaml b/configs/12_2017_baselines/retinanet_R-50-FPN_2x.yaml index 2ec6bc907..41bb329f7 100644 --- a/configs/12_2017_baselines/retinanet_R-50-FPN_2x.yaml +++ b/configs/12_2017_baselines/retinanet_R-50-FPN_2x.yaml @@ -26,7 +26,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_1x.yaml index 025c61d19..d1a891114 100644 --- a/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_1x.yaml @@ -31,7 +31,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_2x.yaml b/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_2x.yaml index ba3f4b532..b6b35fdfd 100644 --- a/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_2x.yaml +++ b/configs/12_2017_baselines/retinanet_X-101-32x8d-FPN_2x.yaml @@ -31,7 +31,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_1x.yaml index 0124a4626..10d790b88 100644 --- a/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_1x.yaml @@ -31,7 +31,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_2x.yaml b/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_2x.yaml index aa12f60bf..2f69da82a 100644 --- a/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_2x.yaml +++ b/configs/12_2017_baselines/retinanet_X-101-64x4d-FPN_2x.yaml @@ -31,7 +31,7 @@ RETINANET: LOSS_GAMMA: 2.0 LOSS_ALPHA: 0.25 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_R-101-FPN_1x.yaml b/configs/12_2017_baselines/rpn_R-101-FPN_1x.yaml index 0681c6bb7..9b7958b25 100644 --- a/configs/12_2017_baselines/rpn_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_R-101-FPN_1x.yaml @@ -19,7 +19,7 @@ FPN: RPN_ANCHOR_START_SIZE: 32 RPN_ASPECT_RATIOS: (0.5, 1, 2) TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_R-50-C4_1x.yaml b/configs/12_2017_baselines/rpn_R-50-C4_1x.yaml index 089626d56..30976a3fe 100644 --- a/configs/12_2017_baselines/rpn_R-50-C4_1x.yaml +++ b/configs/12_2017_baselines/rpn_R-50-C4_1x.yaml @@ -14,7 +14,7 @@ SOLVER: RPN: SIZES: (32, 64, 128, 256, 512) TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_R-50-FPN_1x.yaml b/configs/12_2017_baselines/rpn_R-50-FPN_1x.yaml index 07e9516de..62b9b0ead 100644 --- a/configs/12_2017_baselines/rpn_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_R-50-FPN_1x.yaml @@ -19,7 +19,7 @@ FPN: RPN_ANCHOR_START_SIZE: 32 RPN_ASPECT_RATIOS: (0.5, 1, 2) TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml index a5e9bc59d..e0dfef2ce 100644 --- a/configs/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_X-101-32x8d-FPN_1x.yaml @@ -24,7 +24,7 @@ RESNETS: NUM_GROUPS: 32 WIDTH_PER_GROUP: 8 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml index 3ab51c26b..d8b8a5407 100644 --- a/configs/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_X-101-64x4d-FPN_1x.yaml @@ -24,7 +24,7 @@ RESNETS: NUM_GROUPS: 64 WIDTH_PER_GROUP: 4 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml b/configs/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml index 8cdb5e771..5c3db0672 100644 --- a/configs/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_person_only_R-101-FPN_1x.yaml @@ -19,7 +19,7 @@ FPN: RPN_ANCHOR_START_SIZE: 32 RPN_ASPECT_RATIOS: (0.5, 1, 2) TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-101.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-101.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml b/configs/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml index 9194f7447..47aad1f0d 100644 --- a/configs/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml @@ -19,7 +19,7 @@ FPN: RPN_ANCHOR_START_SIZE: 32 RPN_ASPECT_RATIOS: (0.5, 1, 2) TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml b/configs/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml index 25e6e50fd..edd3cb661 100644 --- a/configs/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_person_only_X-101-32x8d-FPN_1x.yaml @@ -24,7 +24,7 @@ RESNETS: NUM_GROUPS: 32 WIDTH_PER_GROUP: 8 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/20171220/X-101-32x8d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml b/configs/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml index 87f224c89..0eb32059d 100644 --- a/configs/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml +++ b/configs/12_2017_baselines/rpn_person_only_X-101-64x4d-FPN_1x.yaml @@ -24,7 +24,7 @@ RESNETS: NUM_GROUPS: 64 WIDTH_PER_GROUP: 4 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/FBResNeXt/X-101-64x4d.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 diff --git a/configs/getting_started/tutorial_1gpu_e2e_faster_rcnn_R-50-FPN.yaml b/configs/getting_started/tutorial_1gpu_e2e_faster_rcnn_R-50-FPN.yaml index 69dd893cc..4d0e74f0c 100644 --- a/configs/getting_started/tutorial_1gpu_e2e_faster_rcnn_R-50-FPN.yaml +++ b/configs/getting_started/tutorial_1gpu_e2e_faster_rcnn_R-50-FPN.yaml @@ -38,7 +38,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train',) SCALES: (500,) MAX_SIZE: 833 diff --git a/configs/getting_started/tutorial_2gpu_e2e_faster_rcnn_R-50-FPN.yaml b/configs/getting_started/tutorial_2gpu_e2e_faster_rcnn_R-50-FPN.yaml index d1203bacd..081dc9dc6 100644 --- a/configs/getting_started/tutorial_2gpu_e2e_faster_rcnn_R-50-FPN.yaml +++ b/configs/getting_started/tutorial_2gpu_e2e_faster_rcnn_R-50-FPN.yaml @@ -38,7 +38,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train',) SCALES: (500,) MAX_SIZE: 833 diff --git a/configs/getting_started/tutorial_4gpu_e2e_faster_rcnn_R-50-FPN.yaml b/configs/getting_started/tutorial_4gpu_e2e_faster_rcnn_R-50-FPN.yaml index 29c7e6c24..40925285e 100644 --- a/configs/getting_started/tutorial_4gpu_e2e_faster_rcnn_R-50-FPN.yaml +++ b/configs/getting_started/tutorial_4gpu_e2e_faster_rcnn_R-50-FPN.yaml @@ -38,7 +38,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train',) SCALES: (500,) MAX_SIZE: 833 diff --git a/configs/getting_started/tutorial_8gpu_e2e_faster_rcnn_R-50-FPN.yaml b/configs/getting_started/tutorial_8gpu_e2e_faster_rcnn_R-50-FPN.yaml index 992dedec6..940e52bb6 100644 --- a/configs/getting_started/tutorial_8gpu_e2e_faster_rcnn_R-50-FPN.yaml +++ b/configs/getting_started/tutorial_8gpu_e2e_faster_rcnn_R-50-FPN.yaml @@ -38,7 +38,7 @@ FAST_RCNN: ROI_XFORM_RESOLUTION: 7 ROI_XFORM_SAMPLING_RATIO: 2 TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train',) SCALES: (500,) MAX_SIZE: 833 diff --git a/configs/test_time_aug/e2e_mask_rcnn_R-50-FPN_2x.yaml b/configs/test_time_aug/e2e_mask_rcnn_R-50-FPN_2x.yaml index e0bb3784b..99686e0d5 100644 --- a/configs/test_time_aug/e2e_mask_rcnn_R-50-FPN_2x.yaml +++ b/configs/test_time_aug/e2e_mask_rcnn_R-50-FPN_2x.yaml @@ -30,7 +30,7 @@ MRCNN: DILATION: 1 # default 2 CONV_INIT: MSRAFill # default GaussianFill TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('coco_2014_train', 'coco_2014_valminusminival') SCALES: (800,) MAX_SIZE: 1333 @@ -43,7 +43,7 @@ TEST: NMS: 0.5 RPN_PRE_NMS_TOP_N: 1000 # Per FPN level RPN_POST_NMS_TOP_N: 1000 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/35857389/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml.01_37_22.KSeq0b5q/output/train/coco_2014_train%3Acoco_2014_valminusminival/generalized_rcnn/model_final.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/35857389/12_2017_baselines/e2e_faster_rcnn_R-50-FPN_2x.yaml.01_37_22.KSeq0b5q/output/train/coco_2014_train%3Acoco_2014_valminusminival/generalized_rcnn/model_final.pkl # -- Test time augmentation example -- # BBOX_AUG: diff --git a/configs/test_time_aug/keypoint_rcnn_R-50-FPN_1x.yaml b/configs/test_time_aug/keypoint_rcnn_R-50-FPN_1x.yaml index f4d118ea9..1814b5604 100644 --- a/configs/test_time_aug/keypoint_rcnn_R-50-FPN_1x.yaml +++ b/configs/test_time_aug/keypoint_rcnn_R-50-FPN_1x.yaml @@ -34,20 +34,20 @@ KRCNN: ROI_XFORM_SAMPLING_RATIO: 2 KEYPOINT_CONFIDENCE: bbox TRAIN: - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/ImageNetPretrained/MSRA/R-50.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl DATASETS: ('keypoints_coco_2014_train', 'keypoints_coco_2014_valminusminival') - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_train/generalized_rcnn/rpn_proposals.pkl', 'https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_valminusminival/generalized_rcnn/rpn_proposals.pkl') SCALES: (640, 672, 704, 736, 768, 800) MAX_SIZE: 1333 BATCH_SIZE_PER_IM: 512 TEST: DATASETS: ('keypoints_coco_2014_minival',) - PROPOSAL_FILES: ('https://s3-us-west-2.amazonaws.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) + PROPOSAL_FILES: ('https://dl.fbaipublicfiles.com/detectron/35998996/12_2017_baselines/rpn_person_only_R-50-FPN_1x.yaml.08_10_08.0ZWmJm6F/output/test/keypoints_coco_2014_minival/generalized_rcnn/rpn_proposals.pkl',) PROPOSAL_LIMIT: 1000 SCALES: (800,) MAX_SIZE: 1333 NMS: 0.5 - WEIGHTS: https://s3-us-west-2.amazonaws.com/detectron/37651887/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml.20_01_40.FDjUQ7VX/output/train/keypoints_coco_2014_train%3Akeypoints_coco_2014_valminusminival/generalized_rcnn/model_final.pkl + WEIGHTS: https://dl.fbaipublicfiles.com/detectron/37651887/12_2017_baselines/keypoint_rcnn_R-50-FPN_s1x.yaml.20_01_40.FDjUQ7VX/output/train/keypoints_coco_2014_train%3Akeypoints_coco_2014_valminusminival/generalized_rcnn/model_final.pkl # -- Test time augmentation example -- # BBOX_AUG: diff --git a/lib/datasets/data/README.md b/lib/datasets/data/README.md index 9f65023ea..582b95e8c 100644 --- a/lib/datasets/data/README.md +++ b/lib/datasets/data/README.md @@ -36,7 +36,7 @@ ln -s /path/to/json/annotations $DETECTRON/lib/datasets/data/coco/annotations ### COCO Minival Annotations -Our custom `minival` and `valminusminival` annotations are available for download [here](https://s3-us-west-2.amazonaws.com/detectron/coco/coco_annotations_minival.tgz). +Our custom `minival` and `valminusminival` annotations are available for download [here](https://dl.fbaipublicfiles.com/detectron/coco/coco_annotations_minival.tgz). Please note that `minival` is exactly equivalent to the recently defined 2017 `val` set. Similarly, the union of `valminusminival` and the 2014 `train` is exactly equivalent to the 2017 `train` set. To complete installation of the COCO dataset, you will need to copy the `minival` and `valminusminival` json annotation files to the `coco/annotations` directory referenced above. diff --git a/lib/utils/io.py b/lib/utils/io.py index cdd51eec9..2070996b1 100644 --- a/lib/utils/io.py +++ b/lib/utils/io.py @@ -30,7 +30,7 @@ logger = logging.getLogger(__name__) -_DETECTRON_S3_BASE_URL = 'https://s3-us-west-2.amazonaws.com/detectron' +_DETECTRON_S3_BASE_URL = 'https://dl.fbaipublicfiles.com/detectron' def save_object(obj, file_name):