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README.md
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license: apache-2.0
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---
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## π Benchmark Evaluation (Reproduce Paper Results)
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```
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βββ RoboMaster
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βββ bridge_eval_ours_tracking
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```
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-
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1. Generating `bridge_eval_ours`. (Note that the results may vary slightly across different computing machines, even with the same seed. We have prepared the reference files under `eval_metrics/results`)
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```bash
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cd RoboMaster/
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```
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1. Generating `bridge_eval_ours_tracking`: Install [CoTracker3](https://github.com/facebookresearch/co-tracker), and then estimate tracking points with grid size 30 on `bridge_eval_ours`.
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-
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1. Evaluation of VBench metrics.
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```bash
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```
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-
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1. Estimation of TrajError metrics. (Note that we exclude some samples listed in `failed_track.txt`, due to failed estimation by [CoTracker3](https://github.com/facebookresearch/co-tracker))
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```bash
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license: apache-2.0
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---
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## π₯ Reproduce Website Demos
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1. **[Environment Set Up]** Our environment setup is identical to [CogVideoX](https://github.com/THUDM/CogVideo). You can refer to their configuration to complete the environment setup.
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```bash
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conda create -n robomaster python=3.10
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conda activate robomaster
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```
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2. Robotic Manipulation on Diverse Out-of-Domain Objects.
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```bash
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python inference_inthewild.py \
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--input_path demos/diverse_ood_objs \
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--output_path samples/infer_diverse_ood_objs \
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--transformer_path ckpts/RoboMaster \
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--model_path ckpts/CogVideoX-Fun-V1.5-5b-InP
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```
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3. Robotic Manipulation with Diverse Skills
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```bash
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python inference_inthewild.py \
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--input_path demos/diverse_skills \
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--output_path samples/infer_diverse_skills \
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--transformer_path ckpts/RoboMaster \
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--model_path ckpts/CogVideoX-Fun-V1.5-5b-InP
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```
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4. Long Video Generation in Auto-Regressive Manner
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```bash
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python inference_inthewild.py \
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--input_path demos/long_video \
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--output_path samples/long_video \
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--transformer_path ckpts/RoboMaster \
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--model_path ckpts/CogVideoX-Fun-V1.5-5b-InP
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```
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## π Benchmark Evaluation (Reproduce Paper Results)
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```
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βββ RoboMaster
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βββ bridge_eval_ours_tracking
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```
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**(1) Inference on Benchmark & Prepare Evaluation Files**
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1. Generating `bridge_eval_ours`. (Note that the results may vary slightly across different computing machines, even with the same seed. We have prepared the reference files under `eval_metrics/results`)
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```bash
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cd RoboMaster/
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```
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1. Generating `bridge_eval_ours_tracking`: Install [CoTracker3](https://github.com/facebookresearch/co-tracker), and then estimate tracking points with grid size 30 on `bridge_eval_ours`.
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**(2) Evaluation on Visual Quality**
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1. Evaluation of VBench metrics.
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```bash
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```
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**(3) Evaluation on Trajectory (Robotic Arm & Manipulated Object)**
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1. Estimation of TrajError metrics. (Note that we exclude some samples listed in `failed_track.txt`, due to failed estimation by [CoTracker3](https://github.com/facebookresearch/co-tracker))
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```bash
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