doantientai

Congrats Lee and your team for your great work! I have tried the method on difference datasets and it worked very well. However, edges2shoes is an exception. I have in...

Diverse output images?

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In the paper, it is written that by training the network E we are able to generate diverse images from given inputs. I have trained the network with **--instance_feat** and...

FID is nan

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Hi guys, thank you for the amazing work! I have a trouble with FID. During the training, many times the log shows FID is nan. It does not happen all...

Hi @taki0112 , thanks for the amazing work! I have a small question. In the official source code, it requires training data to be organized in directories according to their...

Thank you @vanhuyz for your great implementation. I have finished training with my own data and so excited to run the inference. However, after exporting graph, I run inference.py and...

How to transfer the cloth of one person to another?

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Hi @Seanseattle and the team. Congratulations and thank you for the wonderful work! Using the file test.py, I have been able to generate multiple images in which the pose of...

Modifying input size

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Hi @aalmah Thank you for the useful implementation. From what I see, all input images are resized to 64x64. So I change the input size up to 128, or 256...

ImportError: cannot import name concatenate

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`Traceback (most recent call last):` ` File "./src/retinaNN_training.py", line 15, in ` ` from keras.layers import Input, concatenate, Conv2D, MaxPooling2D, UpSampling2D, Reshape, core, Dropout` `ImportError: cannot import name concatenate` I...

Idea: Annotating a sequence of images

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### Discussed in https://github.com/cvat-ai/cvat/discussions/7818 Originally posted by **doantientai** April 29, 2024 I am working on a project in which we have to give a label status of objects (a classification...