Prosesor Video Google Python NMP
# Load a random image from the images folder
file_names = next(os.walk(IMAGE_DIR))[2]
for file_name in file_names:
image = skimage.io.imread(os.path.join(IMAGE_DIR, file_name))
# Run detection
results = model.detect([image], verbose=1)
# Visualize results
r = results[0]
visualize.display_instances(image, r['rois'], r['masks'], r['class_ids'],
class_names, r['scores'])
Repulsive Rhinoceros