Test Pretrain model for single image

[Mps24-7uk]

Thanks for an amazing repository.

How can I test the result with Cityscapes pre-trained weights for the single image?

[huang45]

Same question, pls help~

[jfhauris]

@PingoLH @Mps24-7uk @huang45
I have same issue.

I am trying to use test.py to test a single (or couple of) images.
Can you share a typical test.py command line to do this?
I am using the following but it is not working:
python test.py --model_path '/home/arl/Documents/FCHARDNET/FCHarDNet-master/ptsemseg/models/hardnet.py' --dataset 'cityscapes' --input '/home/arl/Documents/FCHARDNET/FCHarDNet-master/test_image/index.jpeg' --output '/home/arl/Documents/FCHARDNET/FCHarDNet-master/test_image/index_output.jpeg'
In particular what should the --model_path point to? hardnet.py? or the weights *.pkl?
Also why does --dataset point to cityscapes if I am trying to test my own data?

I get the following error:

File "test.py", line 122, in
test(args)
File "test.py", line 39, in test
device, model, loader = init_model(args)
File "test.py", line 24, in init_model
test_mode=True
File "/home/arl/Documents/FCHARDNET/FCHarDNet-master/ptsemseg/loader/cityscapes_loader.py", line 82, in init
self.images_base = os.path.join(self.root, "leftImg8bit", self.split)
File "/home/arl/anaconda3/envs/rgbsemseg/lib/python3.6/posixpath.py", line 80, in join
a = os.fspath(a)
TypeError: expected str, bytes or os.PathLike object, not NoneType