nms_score_threshold

General
1

Good afternoon, I am using the following code for inference: "input_queue = Queue(maxsize=1)
output_queue = Queue()

input_queue_1 = Queue(maxsize=1)
output_queue_1 = Queue()

params = VDevice.create_params()
params.scheduling_algorithm = HailoSchedulingAlgorithm.ROUND_ROBIN
vdevice = VDevice(params)

hailo_inference = HailoAsyncInference(net_path, vdevice, input_queue, output_queue, batch_size=1)
hailo_inference_1 = HailoAsyncInference(net_path_1, vdevice, input_queue_1, output_queue_1, batch_size=1)

with hailo_inference.infer_model.configure() as configured_infer_model

expected_height, expected_width, expected_channels = hailo_inference.get_input_shape()

print(expected_height)
print(expected_height)

utils = ObjectDetectionUtils(labels_path)

cap = cv2.VideoCapture(video_path)
if not cap.isOpened():
raise IOError(f"Cannot open video file: {video_path}")

orig_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
orig_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS)

inference_thread = threading.Thread(target=hailo_inference.run, daemon=True)
inference_thread.start()

inference_thread_1 = threading.Thread(target=hailo_inference_1.run, daemon=True)
inference_thread_1.start()

inference_times =

while True:

ret, frame = cap.read()
frame_height, frame_width = frame.shape[:2]
if not ret:
    break
o=0
start_time = time.perf_counter()
resized_frame = cv2.resize(frame, (expected_width, expected_height))
resized_frame_pil = Image.fromarray(cv2.cvtColor(resized_frame, cv2.COLOR_BGR2RGB))
preprocessed_frame = utils.preprocess(resized_frame_pil, expected_width, expected_height)
input_tensor = np.array(preprocessed_frame, dtype=np.uint8)
frame4=frame

if not input_queue.empty():
    input_queue.get()
input_queue.put([input_tensor])", but unfortunately, I always get probabilities around 50%. I don't understand why. I am using this repo"https://github.com/hailo-ai/Hailo-Application-Code-Examples/tree/main/runtime/python", and it says that the default probability is 50%, but I don't understand why. Is there any way to change this?