----追光逐电 光赢未来----
# Define the path to the validation imagesvalid_images_path = os.path.join(dataDir, 'test', 'images')
# List all jpg images in the directoryimage_files = [file for file in os.listdir(valid_images_path) if file.endswith('.jpg')]# Select images at equal intervalsnum_images = len(image_files)selected_images = [image_files[i] for i in range(0, num_images, num_images // 4)]# Initialize the subplotfig, axes = plt.subplots(2, 2, figsize=(10, 10))fig.suptitle('Test Set Inferences', fontsize=24)# Perform inference on each selected image and display itfor i, ax in enumerate(axes.flatten()):image_path = os.path.join(valid_images_path, selected_images[i])results = best_model.predict(source=image_path, imgsz=640)annotated_image = results[0].plot()annotated_image_rgb = cv2.cvtColor(annotated_image, cv2.COLOR_BGR2RGB)ax.imshow(annotated_image_rgb)ax.axis('off')plt.tight_layout()plt.show()
申明：感谢原创作者的辛勤付出。本号转载的文章均会在文中注明，若遇到版权问题请联系我们处理。
----与智者为伍 为创新赋能----
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