What is grasp_det_seg_cnn?

gaoxiang12/grasp_det_seg_cnn — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2023-09-14

★ 4PythonAudience · researcherComplexity · 4/5DormantSetup · hard

Mindmap

mindmap
  root((grasp_det_seg_cnn))
    What it does
      Detects robotic grasp points
      Segments objects in scenes
      Joint training approach
    Tech stack
      Python
      PyTorch
      CUDA
    Use cases
      Robotic picking systems
      Manipulation research
      Benchmark baseline
    Audience
      Roboticists
      Researchers
    Setup
      Needs OCID_grasp dataset
      Pretrained weights available

mindmap root((grasp_det_seg_cnn)) What it does Detects robotic grasp points Segments objects in scenes Joint training approach Tech stack Python PyTorch CUDA Use cases Robotic picking systems Manipulation research Benchmark baseline Audience Roboticists Researchers Setup Needs OCID_grasp dataset Pretrained weights available

What do people build with it?

USE CASE 1

Train a robot to pick items from a cluttered shelf using grasp detection.

USE CASE 2

Use the pretrained weights to predict grasp points on new images without retraining.

USE CASE 3

Use this as a baseline implementation for robotic manipulation research.

USE CASE 4

Combine grasp detection with object segmentation for a picking robot in a messy scene.

What is it built with?

PythonPyTorchCUDA

How does it compare?

	gaoxiang12/grasp_det_seg_cnn	adeliox/klein-head-swap	ats4321/ragit
Stars	4	4	4
Language	Python	Python	Python
Last pushed	2023-09-14	—	—
Maintenance	Dormant	—	—
Setup difficulty	hard	moderate	moderate
Complexity	4/5	3/5	2/5
Audience	researcher	designer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

Requires downloading the OCID_grasp dataset and a CUDA GPU environment for training.

Copy-paste prompts

Prompt 1

Help me set up the OCID_grasp dataset and configure this repo's training script.

Prompt 2

Explain how joint grasp detection and semantic segmentation training works in this codebase.

Prompt 3

Show me how to load the pretrained weights from this repo to run inference on my own images.

Prompt 4

Walk me through adapting this grasp detection model for my own robotic manipulation project.

Frequently asked questions