Requirements Writing
L3
FilesystemVoteNet
Generate a complete requirements.txt file containing all necessary Python dependencies for running the VoteNet codebase successfully.
Created by Lingjun Chen
2025-08-13
Code ExplorationCross Referencing
Model Ranking
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Task State
Task Initial State Files
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votenet/
├── doc/
│ ├── teaser.jpg
│ └── tips.md
├── models/
│ ├── ap_helper.py
│ ├── backbone_module.py
│ ├── boxnet.py
│ ├── dump_helper.py
│ ├── loss_helper.py
│ ├── loss_helper_boxnet.py
│ ├── proposal_module.py
│ ├── votenet.py
│ └── voting_module.py
├── pointnet2/
│ ├── _ext_src/
│ │ ├── include/
│ │ │ ├── ball_query.h
│ │ │ ├── cuda_utils.h
│ │ │ ├── group_points.h
│ │ │ ├── interpolate.h
│ │ │ ├── sampling.h
│ │ │ └── utils.h
│ │ └── src/
│ │ ├── ball_query.cpp
│ │ ├── ball_query_gpu.cu
│ │ ├── bindings.cpp
│ │ ├── group_points.cpp
│ │ ├── group_points_gpu.cu
│ │ ├── interpolate.cpp
│ │ ├── interpolate_gpu.cu
│ │ ├── sampling.cpp
│ │ └── sampling_gpu.cu
│ ├── pointnet2_modules.py
│ ├── pointnet2_test.py
│ ├── pointnet2_utils.py
│ ├── pytorch_utils.py
│ └── setup.py
├── scannet/
│ ├── meta_data/
│ │ ├── scannet_means.npz
│ │ ├── scannet_train.txt
│ │ ├── scannetv2-labels.combined.tsv
│ │ ├── scannetv2_test.txt
│ │ ├── scannetv2_train.txt
│ │ └── scannetv2_val.txt
│ ├── scans/
│ ├── batch_load_scannet_data.py
│ ├── data_viz.py
│ ├── load_scannet_data.py
│ ├── model_util_scannet.py
│ ├── README.md
│ ├── scannet_detection_dataset.py
│ └── scannet_utils.py
├── sunrgbd/
│ ├── matlab/
│ │ ├── extract_rgbd_data_v1.m
│ │ ├── extract_rgbd_data_v2.m
│ │ └── extract_split.m
│ ├── OFFICIAL_SUNRGBD/
│ ├── sunrgbd_trainval/
│ ├── model_util_sunrgbd.py
│ ├── README.md
│ ├── sunrgbd_data.py
│ ├── sunrgbd_detection_dataset.py
│ └── sunrgbd_utils.py
├── utils/
│ ├── box_util.py
│ ├── eval_det.py
│ ├── metric_util.py
│ ├── nms.py
│ ├── nn_distance.py
│ ├── pc_util.py
│ ├── tf_logger.py
│ └── tf_visualizer.py
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── demo.py
├── eval.py
├── LICENSE
├── README.md
└── train.py
Instruction
Please use FileSystem tools to finish the following task:
Task Description
The VoteNet project is a 3D object detection framework for point clouds. Your task is to create a requirements.txt file that lists all the necessary Python dependencies for running this codebase.
Task Objectives
- Create a requirements.txt file in the main directory
- Include all essential dependencies needed to run the VoteNet codebase
- Ensure the file format is correct (one dependency per line)
- Save the file as
requirements.txtin the current working directory - Not just pip install or conda install, your answer should contain every necessary dependencies in the hole process of VoteNet.
Requirements
The requirements.txt file should contain Python packages that are necessary for:
- 3D point cloud processing
- Deep learning frameworks
- Computer vision libraries
- Data visualization
- 3D mesh processing
- Network/graph operations
Note
- You can examine the codebase structure and README to understand what packages are needed
- The file should be saved as
requirements.txtin the current directory - Each dependency should be on a separate line
Verify
Python