Chai_Ivy

> I find that your test images' shape are(256L,256L,3L),so I have changed my own images' shape as the same as yours.But there is another problem > > Traceback (most recent...

> > Hello! > > I have some questions.When I use your examples, I can achieve the same effect.But when I use my own images.There are some problems.Can you tell...

> @Yaqiongchai Using the pre-trained model is always preferred over training from scratch. Training the network using the pre-trained model is as easy as copying the weights in your checkpoints...

> Does it mean the model stops training (freezes) after the first epoch? Or it actually ends with a message "End training"? It actually ends with a message "Tend training"....

Here's what I added:  And here's what have reported:  I don't think the problem is dataset path/filelist. Because I tried to rm all the *.pth in the check...

> @Yaqiongchai It does not save the model because in your configuration the `SAVE_INTERVAL` is set to 1000! That means training stops (after 999 iterations) before having the chance to...

`MODE: 1 # 1: train, 2: test, 3: eval MODEL: 1 # 1: edge model, 2: inpaint model, 3: edge-inpaint model, 4: joint model MASK: 3 # 1: random block,...

@knazeri The size of the image is 256 by 256, same as mask file.

> @knazeri it was because of `self.iteration = data['iteration']` in [models.py](https://github.com/knazeri/edge-connect/blob/698509d1ac1d7a40310139f9e4d70410b3d734e4/src/models.py#L33). > It makes the iteration = 2000000 which is equal to `MAX_ITERS`. I changed the `MAX_ITERS` in config file....

> @Yaqiongchai I don't think @aryan461 issue applies to yours. He was using the pre-trained model which was already trained to 2,000,000 iterations. Your problem was not having a valid...