chitra
Traffic-Signal-Violation-Detection-System
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| chitra | Traffic-Signal-Violation-Detection-System | |
|---|---|---|
| 1 | 1 | |
| 223 | 397 | |
| 0.4% | - | |
| 3.2 | 2.8 | |
| 28 days ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
chitra
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Answer: Resizing image and its bounding box
Another way of doing this is to use CHITRA
Traffic-Signal-Violation-Detection-System
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Traffic Signal Violation Detection System using Computer Vision - copyassignment.com
Traffic Signal Violation Detection System Github link
What are some alternatives?
tf-keras-vis - Neural network visualization toolkit for tf.keras
gazebo_aruco_box - Cube model for Gazebo with ArUco markers.
img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
python_video_stab - A Python package to stabilize videos using OpenCV
gallery - BentoML Example Projects 🎨
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
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.
rpi-object-detection - Real-time object detection and tracking using Raspberry Pi and OpenCV!
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
qr-measure - Measuring with computer vision
pytest-visual - A visual testing framework for ML with automated change detection
deepsparse - Sparsity-aware deep learning inference runtime for CPUs