Traffic-Signal-Violation-Detection-System VS chitra

Compare Traffic-Signal-Violation-Detection-System vs chitra and see what are their differences.

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Traffic-Signal-Violation-Detection-System chitra
1 1
397 223
- 0.4%
2.8 3.2
about 1 month ago 27 days ago
Python Python
GNU General Public License v3.0 only 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.

Traffic-Signal-Violation-Detection-System

Posts with mentions or reviews of Traffic-Signal-Violation-Detection-System. We have used some of these posts to build our list of alternatives and similar projects.

chitra

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

What are some alternatives?

When comparing Traffic-Signal-Violation-Detection-System and chitra you can also consider the following projects:

gazebo_aruco_box - Cube model for Gazebo with ArUco markers.

tf-keras-vis - Neural network visualization toolkit for tf.keras

python_video_stab - A Python package to stabilize videos using OpenCV

img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.

gallery - BentoML Example Projects 🎨

rpi-object-detection - Real-time object detection and tracking using Raspberry Pi and OpenCV!

review_object_detection_metrics - Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

qr-measure - Measuring with computer vision

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

pytest-visual - A visual testing framework for ML with automated change detection