synthetic-computer-vision VS CREStereo

Compare synthetic-computer-vision vs CREStereo and see what are their differences.

synthetic-computer-vision

A list of synthetic dataset and tools for computer vision (by unrealcv)

CREStereo

Official MegEngine implementation of CREStereo(CVPR 2022 Oral). (by megvii-research)
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synthetic-computer-vision CREStereo
1 1
991 444
0.0% 4.3%
0.0 0.0
about 1 year ago over 1 year ago
Python Python
MIT License Apache License 2.0
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.

synthetic-computer-vision

Posts with mentions or reviews of synthetic-computer-vision. We have used some of these posts to build our list of alternatives and similar projects.

CREStereo

Posts with mentions or reviews of CREStereo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-23.

What are some alternatives?

When comparing synthetic-computer-vision and CREStereo you can also consider the following projects:

ORBIT-Dataset - The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

RealtimeStereo - Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

pycococreator - Helper functions to create COCO datasets

RAFT-Stereo

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

google-research - Google Research

RepLKNet - Official MegEngine implementation of RepLKNet