Comments (6)
Can you load the pretrained model in places2, I have a bug when load the pretrained model.
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Can you load the pretrained model in places2, I have a bug when load the pretrained model.
yes, do you have qq or wechart? but i can't load the image data
from edge-connect.
@yuxiaoleipeng Our model is trained using an extra irregular mask dataset which you need to download. You do not need edge dataset unless you want to train the model using external edge information. Please follow my comment here to download and create mask dataset:
#11 (comment)
from edge-connect.
Can you load the pretrained model in places2, I have a bug when load the pretrained model.
yes, do you have qq or wechart? but i can't load the image data
@yuxiaoleipeng The input data of network contains three iterms, the image with mask , the edge image of original image(gained by edge detector(cv2.Canny)) and mask image when you train the model. You must generate edge image of original image by Canny before training.
from edge-connect.
@Haoyanlong If you consider Canny as the source of edge information, our model automatically extracts them from the training data using skimage canny edge detector:
Line 98 in 6ec17e5
If you want to explore other edge detecting systems, then you need to generate them before training.
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OK, thank you very much!I see.
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Related Issues (20)
- About supplementary material of your paper
- Results of first stage: edge model HOT 6
- Test image is being filled in a lighter shade HOT 1
- Who can help me slove this error? (when I try to train ) HOT 5
- Run the program on CoLab
- Convergency of edge model HOT 10
- Hello, After reading your paper, may I have a question that why you choice 178 for the celebA dataset drop size.
- 如果对图像修复,edge-connect感兴趣,或者需要帮助,可以联系我
- Training on Google Colab immediately stops HOT 1
- Selection of dataset
- Canny sigma HOT 1
- how to implement the visualization for the learned edges? HOT 2
- Sizes of tensors must match except in dimension 1
- New easy to use inpanting method with transformers HOT 1
- When using edge=2, training has ValueError: operands could not be broadcast together with shapes (256,256,3) (256,256)
- Why is there an error when I train MODEL4: joint model/为什么我训练MODEL4 :joint model会报错
- When I tried to start training, I got an error:RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [1, 512, 4, 4]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True). HOT 15
- About precision and recall during training HOT 1
- The loss function is abnormal when the edge network is trained
- RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
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