bpycv
labelme
| bpycv | labelme | |
|---|---|---|
| 3 | 6 | |
| 455 | 12,361 | |
| - | 1.8% | |
| 4.6 | 8.7 | |
| about 2 months ago | 17 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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bpycv
- Bpycv: Computer Vision and Deep Learning Utils for Blender
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Python code that takes pictures from different view points of a 3d model
Blender is capable of running in a headless mode. I ‘ve had the exact same use case nearly a thousand times. This library worked out well for my purposes https://github.com/DIYer22/bpycv
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[P] Synthetic Data for CV with Python and Blender
Can someone who knows a bit about this compare to, e.g., bpycv? Seems like they are doing very similar stuff
labelme
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labelme VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
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Use cases for PySide
Image, 3D, or data visualization applications using OpenCV and the SciPy ecosystem. The Graphics View Framework can display an image and let the user interact with it, and the Python ecosystem is very rich for image processing, data analysis, and visualization. For example, LabelMe for image labeling, PyQtGraph for scientific graphics, or custom QWidget integration in Maya.
- [D] What is a free tool for generating image segmentation masks?
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Convert Yolov3 annotation to labelme
Ref. - https://github.com/wkentaro/labelme/
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Mask RCNN Implementation for Image Segmentation | Tutorial
LabelMe is open-source tool for polygen image annotations inspired by MIT Label Me
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C++ trainable semantic segmentation models
Create your own dataset. Using labelme through "pip install" and label your images. Split the output json files and images into folders just like below:
What are some alternatives?
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Swin-Transformer-Semantic-Segmentation - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
sentinel2-cloud-detector - Sentinel Hub Cloud Detector for Sentinel-2 images in Python