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face_detector: detect NCHW layout after model compilation #4041

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face_detector: detect NCHW layout after model compilation #4041

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14 changes: 12 additions & 2 deletions demos/face_recognition_demo/python/face_detector.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,12 +14,13 @@
limitations under the License.
"""

import logging as log
import numpy as np

from ie_module import Module
from utils import resize_input

from openvino import PartialShape
from openvino import PartialShape, AsyncInferQueue


class FaceDetector(Module):
Expand Down Expand Up @@ -64,7 +65,6 @@ def __init__(self, core, model, input_size, confidence_threshold=0.5, roi_scale_
raise ValueError("Both input height and width should be positive for Face Detector reshape")

self.input_shape = self.model.inputs[0].shape
self.nchw_layout = self.input_shape[1] == 3
self.output_shape = self.model.outputs[0].shape
if len(self.output_shape) != 4 or self.output_shape[3] != self.Result.OUTPUT_SIZE:
raise RuntimeError("The model expects output shape with {} outputs".format(self.Result.OUTPUT_SIZE))
Expand All @@ -77,6 +77,16 @@ def __init__(self, core, model, input_size, confidence_threshold=0.5, roi_scale_
self.confidence_threshold = confidence_threshold
self.roi_scale_factor = roi_scale_factor

def deploy(self, device, max_requests=1):
self.max_requests = max_requests
compiled_model = self.core.compile_model(self.model, device)
self.output_tensor = compiled_model.outputs[0]
self.infer_queue = AsyncInferQueue(compiled_model, self.max_requests)
self.infer_queue.set_callback(self.completion_callback)
compiled_input_shape = compiled_model.inputs[0].shape
self.nchw_layout = compiled_input_shape[1] == 3
log.info('The {} model {} is loaded to {}'.format(self.model_type, self.model_path, device))

def preprocess(self, frame):
self.input_size = frame.shape
return resize_input(frame, self.input_shape, self.nchw_layout)
Expand Down