learning-topology-synthetic-data VS bpycv

Compare learning-topology-synthetic-data vs bpycv and see what are their differences.

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learning-topology-synthetic-data bpycv
5 3
37 453
- -
4.3 4.6
9 months ago about 1 month ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

learning-topology-synthetic-data

Posts with mentions or reviews of learning-topology-synthetic-data. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-24.

bpycv

Posts with mentions or reviews of bpycv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-02.

What are some alternatives?

When comparing learning-topology-synthetic-data and bpycv you can also consider the following projects:

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

student-teacher-anomaly-detection - Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

zpy - Synthetic data for computer vision. An open source toolkit using Blender and Python.

DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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)

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

STEPS - This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"