-
Is it possible to know how many parameters, layers and FLOPs (including backbone and flownet) do the network have as a whole?
-
Hi, just a kind remind that flownet.pkl you have uploaded seems to be a wrong version. Also, the latest version of in [RIFE](https://github.com/hzwer/Practical-RIFE) has different model size with the …
-
## 姓名 年-月-日 至 年-月-日 周报
### 上周工作 (完成度 xx% )
- [ ] task1 ...
- [ ] task2 ...
- [ ] task2 ... .。未完成原因:...
### 本周工作安排
- [ ] task 1 ...
- [ ] task 2 ...
### 问题讨论
* xxx …
-
Hi,
I have used your pretrained model to finetune on MPI-Sintel. The EPE on test set was 6.2. Have you tried it?
-
where download flownets/raft-things.pth ?
-
When running your code, I found after going through funtion "process_optical_flow" the output flow picture size didn't match the input height and width. Specifically, my input height is 288 and width …
-
Thank you for this awesome application. This is just a quesiton( not any issues at all), Do you still use block_tea in training phase, which we can see in IFNet of your original RIFE repository. And i…
-
### Describe the feature and motivation
Originally, sample https://github.com/opencv/opencv/blob/4.x/samples/dnn/optical_flow.py created for FlowNet v2. [Recently](https://github.com/opencv/opencv/pu…
dkurt updated
8 months ago
-
-
I'm unable to build the CUDA kernels for channelnorm, resample2d, correlation when using PyTorch >= 1.5.1. However, I'm able to successfully build them with PyTorch = 1.5.1?
```
ninja: build sto…