Comments (1)
Xiaoyu377
commented on August 16, 2024
- 我们拜读了本论文，并模仿您的开发环境，成功使用了您提供的网络模型和预编译的exe文件，且获得了良好的效果。
- 但由于能力有限，且基于C++的caffe框架对开发环境及开发技术的苛刻要求，我们无法基于您的网络尝试修改和训练。(似乎当前版本的代码并未提供训练函数及相关损失、参数、及训练方法等)
- 请问您近期是否有打算发布一版基于python语言框架的《Deep Exemplar-based Colorization*》的实现的可训练版本呢？
如果您能在百忙之中抽空答复，我们将感激不尽
您好，我这边运行的时候遇到了一些困难，有些问题想咨询您，这是我的联系方式：[email protected]，期待你的回复！
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Related Issues (20)
- what is the construction of combo file? HOT 4
- migrate to pytorch or keras HOT 1
- Color Transfer HOT 2
- Deep Image Analogy for Colorization HOT 4
- About Flow and Combo files HOT 4
- Any plan to publish your filtered Hollywood2 dataset? HOT 1
- Check failed: error == cudaSuccess (2 vs. 0) out of memory HOT 4
- The meaning of theta parameter in the paper HOT 1
- Average run time. HOT 3
- About PSNR(dB) value
- Is it possible to running on CUDA 10.2? HOT 1
- Training code
- Need to change caffe source code for correct running
- How to Get Reference Image about ImageNet 10k subset? HOT 2
- (-215:Assertion failed) !_src.empty() in function 'cvtColor'
- Inquiry on input format HOT 1
- what is in1_ref1.combo? HOT 1
- Infrared image colorization HOT 5
- Reduce model size
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