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| author | StevenLiuWen <liuwen@shanghaitech.edu.cn> | 2018-03-13 10:00:48 -0400 |
|---|---|---|
| committer | StevenLiuWen <liuwen@shanghaitech.edu.cn> | 2018-03-13 10:00:48 -0400 |
| commit | c6c714d2abc5c36fed7e710f833c86db16d42b78 (patch) | |
| tree | 91e0575c6ba30a861179aef5646e3d8ec07b5d48 /README.md | |
| parent | ce291c80235a8cc115b7699701943f14194e2af3 (diff) | |
update
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 6 |
1 files changed, 6 insertions, 0 deletions
@@ -38,12 +38,18 @@ cd Data ./shanghaitech.sh ``` +If the download shell does not work (I guess the download link in shell script is not permanent), please manually download all datasets from [ped1.tar.gz, ped2.tar.gz, avenue.tar.gz and shanghaitech.tar.gz](https://onedrive.live.com/?authkey=%21AMqh2fTSemfrokE&id=3705E349C336415F%215109&cid=3705E349C336415F) +and tar each tar.gz file, and move them in to **Data** folder. + ## 3. Testing on saved models * Download the trained models (There are the pretrained FlowNet and the trained models of the papers, such as ped1, ped2 and avenue). ```shell cd checkpoints ./download_pretrains.sh ``` +If the download shell does not work (I guess the download link in shell script is not permanent), please manually download pretrained models from [pretrains.tar.gz](https://onedrive.live.com/?authkey=%21AMqh2fTSemfrokE&id=3705E349C336415F%215109&cid=3705E349C336415F) +and tar -xvf pretrains.tar.gz, and move pretrains into **Codes/checkpoints** folder. + * Running the sript (as ped2 and avenue datasets for examples) and cd into **Codes** folder at first. ```shell python inference.py --dataset ped2 \ |
