(ptrorch) PS C:\Users\Administrator\Downloads\Compressed\vehicle-counting-1-master> python detect.py --video_path input.mp4 Traceback (most recent call last): File "detect.py", line 123, in <module> config = Config(os.path.join('configs',args.config)) File "D:\ProgramData\Anaconda3\envs\ptrorch\lib\ntpath.py", line 117, in join genericpath._check_arg_types('join', path, *paths) File "D:\ProgramData\Anac
byq-luo opened this issue · comments
(ptrorch) PS C:\Users\Administrator\Downloads\Compressed\vehicle-counting-1-master> python detect.py --video_path input.mp4
Traceback (most recent call last):
File "detect.py", line 123, in
config = Config(os.path.join('configs',args.config))
File "D:\ProgramData\Anaconda3\envs\ptrorch\lib\ntpath.py", line 117, in join
genericpath._check_arg_types('join', path, *paths)
File "D:\ProgramData\Anaconda3\envs\ptrorch\lib\genericpath.py", line 152, in _check_arg_types
raise TypeError(f'{funcname}() argument must be str, bytes, or '
TypeError: join() argument must be str, bytes, or os.PathLike object, not 'NoneType'
(ptrorch) PS C:\Users\Administrator\Downloads\Compressed\vehicle-counting-1-master>
please try this
pip install -U pyyaml
I have installed this.发自我的iPhone------------------ Original ------------------From: Kaylode Kieran notifications@github.comDate: Sun,Nov 8,2020 5:43 PMTo: kaylode/vehicle-counting vehicle-counting@noreply.github.comCc: byq-luo luozb@chd.edu.cn, Author author@noreply.github.comSubject: Re: [kaylode/vehicle-counting] (ptrorch) PSC:\Users\Administrator\Downloads\Compressed\vehicle-counting-1-master> pythondetect.py --video_path input.mp4 Traceback (most recent call last): File"detect.py", line 123, in config =Config(os.path.join('configs',args.config)) File"D:\ProgramData\Anaconda3\envs\ptrorch\lib\ntpath.py", line 117, in join genericpath._check_arg_types('join', path, *paths) File "D:\ProgramData\Anac(#1) please try this pip install -U pyyaml —You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or unsubscribe. [ { "@context": "http://schema.org", "@type": "EmailMessage", "potentialAction": { "@type": "ViewAction", "target": "#1 (comment)", "url": "#1 (comment)", "name": "View Issue" }, "description": "View this Issue on GitHub", "publisher": { "@type": "Organization", "name": "GitHub", "url": "https://github.com" } } ]
You must provide a config file (.yaml) as written in the command:
python detect.py -c=<version of EfficientDet> --config=<path to project config yaml file> --video_path=<path to video .mp4>
You can look at my ./configs/aic-hcmc.yaml for example, to customize on your on dataset
If you use my trained efficientdet-d2 weight you can use that aic-hcmc.yaml directly by this command;
python detect.py -c=2 --config=aic-hcmc.yaml --video_path=input.mp4
However, i recommend fine-tuning the detector on your own dataset for better results
I have installed this.发自我的iPhone------------------ Original ------------------From: Kaylode Kieran notifications@github.comDate: Sun,Nov 8,2020 5:43 PMTo: kaylode/vehicle-counting vehicle-counting@noreply.github.comCc: byq-luo luozb@chd.edu.cn, Author author@noreply.github.comSubject: Re: [kaylode/vehicle-counting] (ptrorch) PSC:\Users\Administrator\Downloads\Compressed\vehicle-counting-1-master> pythondetect.py --video_path input.mp4 Traceback (most recent call last): File"detect.py", line 123, in config =Config(os.path.join('configs',args.config)) File"D:\ProgramData\Anaconda3\envs\ptrorch\lib\ntpath.py", line 117, in join genericpath._check_arg_types('join', path, *paths) File "D:\ProgramData\Anac(#1) please try this pip install -U pyyaml —You are receiving this because you authored the thread.Reply to this email directly, view it on GitHub, or unsubscribe. [ { "@context": "http://schema.org", "@type": "EmailMessage", "potentialAction": { "@type": "ViewAction", "target": "#1 (comment)", "url": "#1 (comment)", "name": "View Issue" }, "description": "View this Issue on GitHub", "publisher": { "@type": "Organization", "name": "GitHub", "url": "https://github.com" } } ]
You must provide a config file (.yaml) as written in the command:
python detect.py -c=<version of EfficientDet> --config=<path to project config yaml file> --video_path=<path to video .mp4>You can look at my ./configs/aic-hcmc.yaml for example, to customize on your on dataset
If you use my trained efficientdet-d2 weight you can use that aic-hcmc.yaml directly by this command;python detect.py -c=2 --config=aic-hcmc.yaml --video_path=input.mp4However, i recommend fine-tuning the detector on your own dataset for better results
Thank you.