added prettier settings

projects/OpenVINO/Python/detect.py

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+#!/usr/bin/env python3
+
+import cv2
+import numpy as np
+import openvino as ov
+
+# model_path = './yolov8/yolov8n/yolov8n.xml'
+model_path = './yolov8/yolov8s/yolov8s.xml'
+# model_path = './intel/person-detection-retail-0013/FP16/person-detection-retail-0013.xml'
+image_path = 'cat_dog.jpg'
+device_name = 'CPU'
+
+
+def main():
+    # Загрузка OpenVINO
+    core = ov.Core()
+    model = core.read_model(model_path)
+
+    # Загрузка изображения
+    image = cv2.imread(image_path)
+
+    # Добавить N измерений
+    input_tensor = np.expand_dims(image, 0)
+
+    # Изменение формы модели в соответствии с ВxШ изображения
+    n, h, w, c = input_tensor.shape
+    model.reshape({model.input().get_any_name(): ov.PartialShape((n, c, h, w))})
+
+    # Предварительная обработка
+    ppp = ov.preprocess.PrePostProcessor(model)
+    ppp.input().tensor().set_element_type(ov.Type.u8).set_layout(ov.Layout('NHWC'))
+    ppp.input().model().set_layout(ov.Layout('NCHW'))
+    ppp.output().tensor().set_element_type(ov.Type.f32)  # f16
+    model = ppp.build()
+
+    compiled_model = core.compile_model(model, device_name)
+    results = compiled_model.infer_new_request({0: input_tensor})
+
+    # Output
+    predictions = next(iter(results.values()))
+    detections = predictions.reshape(-1, 7)
+
+    for detection in detections:
+        confidence = detection[2]
+
+        if confidence > 0.7:
+            class_id = int(detection[1])
+
+            xmin = int(detection[3] * w)
+            ymin = int(detection[4] * h)
+            xmax = int(detection[5] * w)
+            ymax = int(detection[6] * h)
+
+            cv2.rectangle(image, (xmin, ymin), (xmax, ymax), (0, 255, 0), 2)
+
+    cv2.imwrite('/tmp/py_openvino_result.bmp', image)
+
+
+if __name__ == '__main__':
+    main()

projects/OpenVINO/Python/images/bus.jpg

@@ -1 +0,0 @@
-../../../assets/bus.jpg

projects/OpenVINO/Python/images/girl_faces.png

@@ -1 +0,0 @@
-../..//../assets/girl_faces.png

projects/OpenVINO/Python/result.bmp

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+/tmp/py_openvino_result.bmp