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I'm running a YOLOX-S model converted to a TensorRT engine on a Jetson Orin Nano (Super) with JetPack 6.2. The model was trained and exported to a TensorRT engine using the provided tools. I'm using Python and OpenCV to run inference, and I’m getting around 25 FPS.
I’ve tested this with the device set to 15W power mode and jetson_clocks enabled.
Here's the code snippet I used to calculate the FPS:
start_time = time.time() # Start time of video processing to calculate fps
while True:
ret, frame = input_video.read()
if not ret:
break
frame_count+=1
results, img_info = predictor.inference(frame)
ratio = img_info["ratio"]
end_time = time.time()
avg_fps = frame_count / (end_time - start_time)
print(f"FPS = {avg_fps}")
I couldn't find any official benchmarks for YOLOX models on Jetson devices. So I'm wondering if ~25 FPS is the expected performance for YOLOX-S (640x640, FP16 TensorRT engine) on the Orin Nano?
The text was updated successfully, but these errors were encountered:
I'm running a YOLOX-S model converted to a TensorRT engine on a Jetson Orin Nano (Super) with JetPack 6.2. The model was trained and exported to a TensorRT engine using the provided tools. I'm using Python and OpenCV to run inference, and I’m getting around 25 FPS.
I’ve tested this with the device set to 15W power mode and jetson_clocks enabled.
Here's the code snippet I used to calculate the FPS:
I couldn't find any official benchmarks for YOLOX models on Jetson devices. So I'm wondering if ~25 FPS is the expected performance for YOLOX-S (640x640, FP16 TensorRT engine) on the Orin Nano?
The text was updated successfully, but these errors were encountered: