update readme

README.md

@@ -1,122 +1,12 @@
-# Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
-
-> [Ming Qian](https://qianmingduowan.github.io/), Jincheng Xiong, [Gui-Song Xia](http://www.captain-whu.com/xia_En.html), [Nan Xue](https://xuenan.net)
->
-> IEEE/CVF International Conference on Computer Vision (ICCV), 2023
->
-> [Project](https://sat2density.github.io/) | [Paper](https://arxiv.org/abs/2303.14672) | [Data]() | [Install.md](docs/INSTALL.md)
-
-> <p align="center" float="left">
->    <img src="docs/figures/demo/case1.sat.gif" alt="drawing" width="19%">  
->    <img src="docs/figures/demo-density/case1.gif" alt="drawing" width="38%">
->    <img src="docs/figures/demo/case1.render.gif" alt="drawing" width="38%">
-> </p>
-
-> <p align="center" float="left">
->    <img src="docs/figures/demo/case2.sat.gif" alt="drawing" width="19%">  
->    <img src="docs/figures/demo-density/case2.gif" alt="drawing" width="38%">
->    <img src="docs/figures/demo/case2.render.gif" alt="drawing" width="38%">
-> </p>
-
-> <p align="center" float="left">
->    <img src="docs/figures/demo/case3.sat.gif" alt="drawing" width="19%">  
->    <img src="docs/figures/demo-density/case3.gif" alt="drawing" width="38%">
->    <img src="docs/figures/demo/case3.render.gif" alt="drawing" width="38%">
-> </p>
-
-> <p align="center" float="left">
->    <img src="docs/figures/demo/case4.sat.gif" alt="drawing" width="19%">  
->    <img src="docs/figures/demo-density/case4.gif" alt="drawing" width="38%">
->    <img src="docs/figures/demo/case4.render.gif" alt="drawing" width="38%">
-> </p>
-
-## Checkpoints Downloading
-> Two checkpoints for CVACT and CVUSA can be found from [thisurl](https://github.com/sat2density/checkpoints/releases). You can also run the following command to download them.
-```
-bash scripts/download_weights.sh
-```
-
-## QuickStart Demo
-### Video Synthesis
-  #### Example Usage
-  ```
-  python test.py --yaml=sat2density_cvact \
-    --test_ckpt_path=2u87bj8w \
-    --task=test_vid \
-    --demo_img=demo_img/case1/satview-input.png  \
-    --sty_img=demo_img/case1/groundview.image.png  \
-    --save_dir=results/case1
-  ```
-  #### 
-
-### Illumination Interpolation
-<!-- ```
-bash inference/quick_demo_interpolation.sh
-``` -->
-```
-python test.py --task=test_interpolation \
---yaml=sat2density_cvact \
---test_ckpt_path=2u87bj8w \
---sty_img1=demo_img/case9/groundview.image.png \
---sty_img2=demo_img/case7/groundview.image.png \
---demo_img=demo_img/case3/satview-input.png \
---save_dir=results/case2
-```
-
-## Train & Inference
-- *We trained our model using 1 V100 32GB GPU. The training phase will take about 20 hours.*
-- *For data preparation, please check out [data.md](dataset/INSTALL.md).*
-
-
-
-
-### Inference
-
-To test Center Ground-View Synthesis setting
-If you want save results, please add --task=vis_test
-```bash
-# CVACT
-python offline_train_test.py --yaml=sat2density_cvact --test_ckpt_path=2u87bj8w
-# CVUSA
-python offline_train_test.py --yaml=sat2density_cvusa --test_ckpt_path=2cqv8uh4
-```
-
-To test inference with different illumination
-```bash
-# CVACT
-bash inference/single_style_test_cvact.sh
-# CVUSA
-bash inference/single_style_test_cvusa.sh
-```
-
-To test synthesis ground videos
-```bash
-bash inference/synthesis_video.sh
-```
-
-## Training
-
-### Training command
-
-```bash
-# CVACT
-CUDA_VISIBLE_DEVICES=X python train.py --yaml=sat2density_cvact
-# CVUSA
-CUDA_VISIBLE_DEVICES=X python train.py --yaml=sat2density_cvusa
-```
-
-## Citation
-If you use this code for your research, please cite
-
-```
-@inproceedings{qian2021sat2density,
-  title={Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs},
-  author={Qian, Ming and Xiong, Jincheng and Xia, Gui-Song and Xue, Nan},
-  booktitle={ICCV},
-  year={2023}
-}
-```
-
-## License
-This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
-For commercial use, please contact [mingqian@whu.edu.cn].
+---
+title: sat3density
+emoji: 🐠
+colorFrom: yellow
+colorTo: purple
+sdk: gradio
+sdk_version: 3.36.1
+app_file: app.py
+pinned: false
+license: mit
+---
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference