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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -36,7 +36,7 @@ cd Data ``` ## 3. Testing on saved models -* Download the trained models +* Download the trained models (it contains the pretrained FlowNet and the trained models of papers, such as ped1, ped2 and avenue). ```shell cd checkpoints ./download_pretrains.sh @@ -58,6 +58,7 @@ python inference.py --dataset avenue \ ## 4. Training from scratch (here we use ped2 and avenue datasets for examples) +* Download the pretrained FlowNet at first and see above mentioned step 3.1 * Set hyper-parameters The default hyper-parameters, such as $\lambda_{init}$, $\lambda_{gd}$, $\lambda_{op}$, $\lambda_{adv}$ and the learning rate of G, as well as D, are all initialized in **training_hyper_params/hyper_params.ini**. * Running script (as ped2 or avenue for instances) and cd into **Codes** folder at first. |