Comments (3)
I downloaded the checkpoint files from the google drive link and placed them in ./DexiNed-master/DexiNed-TF2/DXN_BIPED and then ran
python run_model.py --image_width=512 --image_height=512
and got the error below
Traceback (most recent call last): File "run_model.py", line 131, in <module> main(args=args) File "run_model.py", line 108, in main trainer.run(sess) File "/home/me/Desktop/DexiNed-master/train.py", line 32, in run train_data = data_parser(self.args) File "/home/me/Desktop/DexiNed-master/utls/dataset_manager.py", line 1018, in data_parser if args.train_dataset.lower() == 'biped' else os.path.join(args.dataset_dir, args.train_dataset) File "/home/me/anaconda3/lib/python3.6/posixpath.py", line 80, in join a = os.fspath(a) TypeError: expected str, bytes or os.PathLike object, not NoneType
Hi sorry I cannot reproduce the error, it works perfectly.
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Hey, I encounter the same problem, have you solved it?
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I downloaded the checkpoint files from the google drive link and placed them in ./DexiNed-master/DexiNed-TF2/DXN_BIPED and then ran
python run_model.py --image_width=512 --image_height=512
and got the error below
Traceback (most recent call last): File "run_model.py", line 131, in <module> main(args=args) File "run_model.py", line 108, in main trainer.run(sess) File "/home/me/Desktop/DexiNed-master/train.py", line 32, in run train_data = data_parser(self.args) File "/home/me/Desktop/DexiNed-master/utls/dataset_manager.py", line 1018, in data_parser if args.train_dataset.lower() == 'biped' else os.path.join(args.dataset_dir, args.train_dataset) File "/home/me/anaconda3/lib/python3.6/posixpath.py", line 80, in join a = os.fspath(a) TypeError: expected str, bytes or os.PathLike object, not NoneType
Hi, I have the same problem, Could you share how did you fix that?
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Related Issues (20)
- Testing on a single image (lena_std.tif) HOT 3
- about evaluation HOT 2
- Works once but stops working after testing own image HOT 3
- Can I change the resize value in dataset transform function? HOT 3
- About Bsds and Biped HOT 2
- Size of the CLASSIC images
- About args.double_img HOT 5
- Can't parse 'dsize'. Sequence item with index 0 has a wrong type HOT 2
- Should the l_weight value change according to the dataset? HOT 3
- Inference mode is available? HOT 2
- GT HOT 1
- loss does not converge HOT 25
- How can I calculate ODS, OIS, AP metrics? HOT 5
- does DexiNed support multiple GPUs .. if Yes, how to implement it for DexiNed TF2 HOT 4
- high train loss
- About Precision-Recall Curves on Biped
- Getting an NoneType error while testing with my images HOT 1
- Unable to reproduce results HOT 7
- Interpretation of result.png HOT 2
- Hello! Why does the following problem occur after running main.py
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