yuyoujiang / run-yolov8-in-one-line-on-jetson Goto Github PK

$ python Run-YOLOv8-in-One-Line-on-Jetson/run.py
Step 1. Access the terminal of Jetson device, install pip and upgrade it
Upgrade pip...
nvidia-jetpack is already installed!
Step 2. Install Ultralytics package
WARNING: There was an error checking the latest version of pip.
Ultralytics has been installed
Step 3. Reinstall Torch and Torchvision
Get JetPack version...
JetPack: R35.2.1
Check torch ...
WARNING: There was an error checking the latest version of pip.
Installing dependency packages for torch...
debconf: delaying package configuration, since apt-utils is not installed
Done!
Downloading torch package...
--2023-10-16 12:18:13--  https://nvidia.box.com/shared/static/i8pukc49h3lhak4kkn67tg9j4goqm0m7.whl
Resolving nvidia.box.com (nvidia.box.com)... 74.112.186.144
Connecting to nvidia.box.com (nvidia.box.com)|74.112.186.144|:443... connected.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: /public/static/i8pukc49h3lhak4kkn67tg9j4goqm0m7.whl [following]
--2023-10-16 12:18:14--  https://nvidia.box.com/public/static/i8pukc49h3lhak4kkn67tg9j4goqm0m7.whl
Reusing existing connection to nvidia.box.com:443.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: https://nvidia.app.box.com/public/static/i8pukc49h3lhak4kkn67tg9j4goqm0m7.whl [following]
--2023-10-16 12:18:14--  https://nvidia.app.box.com/public/static/i8pukc49h3lhak4kkn67tg9j4goqm0m7.whl
Resolving nvidia.app.box.com (nvidia.app.box.com)... 74.112.186.144
Connecting to nvidia.app.box.com (nvidia.app.box.com)|74.112.186.144|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://public.boxcloud.com/d/1/b1!d_lBgWUOTNj1-148b3XTQ9XrCugHERe7fORKVpOc8dLW1nhClie5vhYJrZRg3xqYNiWkrjHJhcWaAPEiFToajJ_gWTxbKKnTpV5fRqq5FU-Ek4Tao1i4R_x3Eeb-Y0hrzku8yOsuqMzdSEqJ5-Stdj7rjVJ2vaVUg1YZzzQTLjS3w6dMOpMvV-uSzE3uFmuWXcTjunUFSKLZNHzw_fnwhHSMrQetf0DckIQMJGZCb5qLI_kO4OFS4xaabFn-mdw_uYLMuqYWj1iDcX5aYJLk1jMYkcn_MovvmobknRkTl5qDOMc28F0ckISJS0GWwveaqWguehoyIpIEyjMUsQolfHB1b3z7xmgDI3m3dkYN0xqpxBYa4VeyM6ni5ILbIRfntDR7aO9DoKuDfC2uwHNI0xCiDUeX8M48aG0IKcwzL4lvftlRv1VZV0KVWjmSXUv6osSRaw8yzWt6MiCEtLUaNPYUmFQjyOxEFUxhpQXrswSLPrPiuHl78GpGjBzX1Tf-JB4hoMpLMDNX1SVWQNG9avQ3z5OqA5FbZXbwnJJ3PNQzrnFz0ShsPeCkfxSN6lI4NPtHpdSfYhTaQiEjG7-w6yB3almzkK0jX3u-qagZyopXxNIY44Xq7TDjMr_1v3ea6o8-e7YY780ZmhMXlo3kkJ0rOBVZWSzdR-wmne0A5OarA_VxuliA16Ou67RuIch5kik2-F7-a2uBkZSO2HcCOowV5BHI_Py3UiqLaNj-THQqCC858qVCk1OPWblD3M_qRbyeDjXDFYHqOs0p-lbERd0wJ33jj-wwi_Cu-oU3U-T4Xj--Tf9REtkkJ56z24Poh39PBJqpJs2CNQ5CSRJ19h_t0qwbf60qlX70zdIL2JwIqWiBXcDQx90a77NQ51qzL18UU6qsJ7TH3MSFPQqbc6b1dDFix90-K_7Q5CxGQipqY7OINpyRpW7krSEwPSOZsvjOtaP7YhzPcuj87ZRvxDjch2ftc6jZvXCrHFBrmlZb1kybwhTi1xoIcN_Iu6IE-ilVnTjtSyroPMTbp_iMEDJV2r4_mE0i1yK6ML_wGcWT8xc4UzLepHY-ax308-SHy9qEn_yTNKuFr2jKlL0oSkEHgYVPKqXH7of0bh3FSfwLUU5BRhzfwPJiFfjPciEBr87vKbHse4v63BFYYIwad0CagzlZk7DIAl5YMIcLk6RcNJHSSoiRMOOa6KMm3aO7nGARNL4Las9xdsf-jBIBbUsh9CTX0driP7yqTOph-qgZCFFtJg2tEQ9hrVuuf-o9IN6GhKhcsq8nMR_s7hcZ9a0Qw9EJabZ75hRvf34zDruYoclxCQEeGxLk69UKAgnxTfJRt98nMvzVySnkadPDF2tCO1RhmH618bRIDztJ8_kMwjQOgq9s9emSRAuCMO-Odrzpoe-9-nWgAeIJ1Wcm_KAgVEzSS8kw-gWE8A../download [following]
--2023-10-16 12:18:15--  https://public.boxcloud.com/d/1/b1!d_lBgWUOTNj1-148b3XTQ9XrCugHERe7fORKVpOc8dLW1nhClie5vhYJrZRg3xqYNiWkrjHJhcWaAPEiFToajJ_gWTxbKKnTpV5fRqq5FU-Ek4Tao1i4R_x3Eeb-Y0hrzku8yOsuqMzdSEqJ5-Stdj7rjVJ2vaVUg1YZzzQTLjS3w6dMOpMvV-uSzE3uFmuWXcTjunUFSKLZNHzw_fnwhHSMrQetf0DckIQMJGZCb5qLI_kO4OFS4xaabFn-mdw_uYLMuqYWj1iDcX5aYJLk1jMYkcn_MovvmobknRkTl5qDOMc28F0ckISJS0GWwveaqWguehoyIpIEyjMUsQolfHB1b3z7xmgDI3m3dkYN0xqpxBYa4VeyM6ni5ILbIRfntDR7aO9DoKuDfC2uwHNI0xCiDUeX8M48aG0IKcwzL4lvftlRv1VZV0KVWjmSXUv6osSRaw8yzWt6MiCEtLUaNPYUmFQjyOxEFUxhpQXrswSLPrPiuHl78GpGjBzX1Tf-JB4hoMpLMDNX1SVWQNG9avQ3z5OqA5FbZXbwnJJ3PNQzrnFz0ShsPeCkfxSN6lI4NPtHpdSfYhTaQiEjG7-w6yB3almzkK0jX3u-qagZyopXxNIY44Xq7TDjMr_1v3ea6o8-e7YY780ZmhMXlo3kkJ0rOBVZWSzdR-wmne0A5OarA_VxuliA16Ou67RuIch5kik2-F7-a2uBkZSO2HcCOowV5BHI_Py3UiqLaNj-THQqCC858qVCk1OPWblD3M_qRbyeDjXDFYHqOs0p-lbERd0wJ33jj-wwi_Cu-oU3U-T4Xj--Tf9REtkkJ56z24Poh39PBJqpJs2CNQ5CSRJ19h_t0qwbf60qlX70zdIL2JwIqWiBXcDQx90a77NQ51qzL18UU6qsJ7TH3MSFPQqbc6b1dDFix90-K_7Q5CxGQipqY7OINpyRpW7krSEwPSOZsvjOtaP7YhzPcuj87ZRvxDjch2ftc6jZvXCrHFBrmlZb1kybwhTi1xoIcN_Iu6IE-ilVnTjtSyroPMTbp_iMEDJV2r4_mE0i1yK6ML_wGcWT8xc4UzLepHY-ax308-SHy9qEn_yTNKuFr2jKlL0oSkEHgYVPKqXH7of0bh3FSfwLUU5BRhzfwPJiFfjPciEBr87vKbHse4v63BFYYIwad0CagzlZk7DIAl5YMIcLk6RcNJHSSoiRMOOa6KMm3aO7nGARNL4Las9xdsf-jBIBbUsh9CTX0driP7yqTOph-qgZCFFtJg2tEQ9hrVuuf-o9IN6GhKhcsq8nMR_s7hcZ9a0Qw9EJabZ75hRvf34zDruYoclxCQEeGxLk69UKAgnxTfJRt98nMvzVySnkadPDF2tCO1RhmH618bRIDztJ8_kMwjQOgq9s9emSRAuCMO-Odrzpoe-9-nWgAeIJ1Wcm_KAgVEzSS8kw-gWE8A../download
Resolving public.boxcloud.com (public.boxcloud.com)... 74.112.186.128
Connecting to public.boxcloud.com (public.boxcloud.com)|74.112.186.128|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 171764989 (164M) [application/octet-stream]
Saving to: ‘/home/jetson/git/Run-YOLOv8-in-One-Line-on-Jetson/cache/torch-2.0.0+nv23.05-cp38-cp38-linux_aarch64.whl’

/home/jetson/git/Run-YOLOv8-in- 100%[=====================================================>] 163.81M  12.1MB/s    in 13s

2023-10-16 12:18:29 (12.1 MB/s) - ‘/home/jetson/git/Run-YOLOv8-in-One-Line-on-Jetson/cache/torch-2.0.0+nv23.05-cp38-cp38-linux_aarch64.whl’ saved [171764989/171764989]

Installing torch...
Downloading torchvision...
Cloning into '/home/jetson/git/Run-YOLOv8-in-One-Line-on-Jetson/cache/torchvision'...
remote: Enumerating objects: 413885, done.
remote: Counting objects: 100% (22700/22700), done.
remote: Compressing objects: 100% (1749/1749), done.
remote: Total 413885 (delta 21948), reused 21240 (delta 20941), pack-reused 391185
Receiving objects: 100% (413885/413885), 796.19 MiB | 6.73 MiB/s, done.
Resolving deltas: 100% (384510/384510), done.
Installing torchvision...(about 10 minutes to wait)
Reinstall of torch torchvision completed!
Running environment configuration completed!
Downloading model...
--2023-10-16 12:36:02--  https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt
Resolving github.com (github.com)... 140.82.121.3
Connecting to github.com (github.com)|140.82.121.3|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/521807533/1013abe2-be6e-4606-8433-daf2baecf594?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20231016%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20231016T103602Z&X-Amz-Expires=300&X-Amz-Signature=e7a4a2b3274b23ee1e6125ee312ddbb204544b2c6b7c99841d2e3dd4bc47132b&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=521807533&response-content-disposition=attachment%3B%20filename%3Dyolov8n.pt&response-content-type=application%2Foctet-stream [following]
--2023-10-16 12:36:02--  https://objects.githubusercontent.com/github-production-release-asset-2e65be/521807533/1013abe2-be6e-4606-8433-daf2baecf594?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20231016%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20231016T103602Z&X-Amz-Expires=300&X-Amz-Signature=e7a4a2b3274b23ee1e6125ee312ddbb204544b2c6b7c99841d2e3dd4bc47132b&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=521807533&response-content-disposition=attachment%3B%20filename%3Dyolov8n.pt&response-content-type=application%2Foctet-stream
Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.111.133, ...
Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.109.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 6534387 (6.2M) [application/octet-stream]
Saving to: ‘/home/jetson/git/Run-YOLOv8-in-One-Line-on-Jetson/weights/detect/yolov8n.pt’

/home/jetson/git/Run-YOLOv8-in- 100%[=====================================================>]   6.23M  27.1MB/s    in 0.2s

2023-10-16 12:36:02 (27.1 MB/s) - ‘/home/jetson/git/Run-YOLOv8-in-One-Line-on-Jetson/weights/detect/yolov8n.pt’ saved [6534387/6534387]

/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/image.so: undefined symbol: _ZNK3c107SymBool10guard_boolEPKcl'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
  warn(
Ultralytics YOLOv8.0.185 🚀 Python-3.8.10 torch-1.14.0a0+44dac51c.nv23.01 CUDA:0 (Orin, 30589MiB)
YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs

Downloading https://files.seeedstudio.com/products/NVIDIA-Jetson/people.mp4 to 'people.mp4'...
100%|████████████████████████████████████████████████████████████████████████████████████| 59.9M/59.9M [00:03<00:00, 20.0MB/s]
Traceback (most recent call last):
  File "/home/jetson/.local/bin/yolo", line 8, in <module>
    sys.exit(entrypoint())
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/cfg/__init__.py", line 445, in entrypoint
    getattr(model, mode)(**overrides)  # default args from model
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/engine/model.py", line 236, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 199, in predict_cli
    for _ in gen:  # running CLI inference without accumulating any outputs (do not modify)
  File "/home/jetson/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 50, in generator_context
    response = gen.send(None)
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 257, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/models/yolo/detect/predict.py", line 25, in postprocess
    preds = ops.non_max_suppression(preds,
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/utils/ops.py", line 242, in non_max_suppression
    i = torchvision.ops.nms(boxes, scores, iou_thres)  # NMS
  File "/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/ops/boxes.py", line 40, in nms
    _assert_has_ops()
  File "/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/extension.py", line 48, in _assert_has_ops
    raise RuntimeError(
RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.

$ python Run-YOLOv8-in-One-Line-on-Jetson/run.py
Step 1. Access the terminal of Jetson device, install pip and upgrade it
Upgrade pip...
WARNING: There was an error checking the latest version of pip.
nvidia-jetpack is already installed!
Step 2. Install Ultralytics package
WARNING: There was an error checking the latest version of pip.
Ultralytics has been installed
Step 3. Reinstall Torch and Torchvision
Get JetPack version...
JetPack: R35.2.1
Check torch ...
WARNING: There was an error checking the latest version of pip.
The torch version is legal
Check torchvision ...
WARNING: There was an error checking the latest version of pip.
The torchvision version is legal
Running environment configuration completed!
/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/image.so: undefined symbol: _ZNK3c107SymBool10guard_boolEPKcl'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
  warn(
Ultralytics YOLOv8.0.185 🚀 Python-3.8.10 torch-1.14.0a0+44dac51c.nv23.01 CUDA:0 (Orin, 30589MiB)
YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs

Found https://files.seeedstudio.com/products/NVIDIA-Jetson/people.mp4 locally at people.mp4
Traceback (most recent call last):
  File "/home/jetson/.local/bin/yolo", line 8, in <module>
    sys.exit(entrypoint())
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/cfg/__init__.py", line 445, in entrypoint
    getattr(model, mode)(**overrides)  # default args from model
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/engine/model.py", line 236, in predict
    return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 199, in predict_cli
    for _ in gen:  # running CLI inference without accumulating any outputs (do not modify)
  File "/home/jetson/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 50, in generator_context
    response = gen.send(None)
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/engine/predictor.py", line 257, in stream_inference
    self.results = self.postprocess(preds, im, im0s)
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/models/yolo/detect/predict.py", line 25, in postprocess
    preds = ops.non_max_suppression(preds,
  File "/home/jetson/.local/lib/python3.8/site-packages/ultralytics/utils/ops.py", line 242, in non_max_suppression
    i = torchvision.ops.nms(boxes, scores, iou_thres)  # NMS
  File "/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/ops/boxes.py", line 40, in nms
    _assert_has_ops()
  File "/home/jetson/.local/lib/python3.8/site-packages/torchvision-0.15.2a0+fa99a53-py3.8-linux-aarch64.egg/torchvision/extension.py", line 48, in _assert_has_ops
    raise RuntimeError(
RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.__version__ and your torchvision version with torchvision.__version__ and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install.