| Name | Version | Summary | date |
| albucore |
0.0.1 |
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation. |
2024-05-15 02:16:24 |
| pyzjr |
1.3.10 |
A computer vision library that supports Win, packaged with patches for visual libraries such as Opencv, matplotlib, and image. In the future, Pytorch will also be supported, all of which are personal (Auorui) engineering code experience. |
2024-05-14 15:29:04 |
| albumentations |
1.4.7 |
An efficient library for image augmentation, providing extensive transformations to support machine learning and computer vision tasks. |
2024-05-14 00:43:24 |
| spatialmath-python |
1.1.10 |
Provides spatial maths capability for Python |
2024-05-13 14:50:39 |
| onnxtr |
0.2.0 |
Onnx Text Recognition (OnnxTR): docTR Onnx-Wrapper for high-performance OCR on documents. |
2024-05-13 10:41:00 |
| movie-barcodes |
0.2.0 |
Compress every frame of a movie in a single color barcode.Transform entire movies into stunning single-barcode visualizations.Capture the essence of cinematic storytelling through dominant color extraction from each frame. |
2024-05-11 11:59:19 |
| sparseml-nightly |
1.8.0.20240509 |
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models |
2024-05-09 22:43:52 |
| rclip |
1.8.10 |
AI-Powered Command-Line Photo Search Tool |
2024-05-07 16:23:11 |
| deepsparse-nightly |
1.8.0.20240502 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-05-06 19:42:19 |
| sparsezoo-nightly |
1.8.0.20240506 |
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes |
2024-05-06 19:37:51 |
| juxtapose |
0.0.32 |
None |
2024-05-05 03:53:23 |
| VehicleDetectionTracker |
0.0.31 |
VehicleDetectionTracker 🚗: Effortlessly track and detect vehicles in images and videos with advanced algorithms. 🚙🚕 Boost your computer vision project!" 🔍📹 |
2024-05-04 10:51:36 |
| dedoc |
2.2.1 |
Extract content and logical tree structure from textual documents |
2024-05-03 13:23:57 |
| leafy-spurge-dataset |
1.0 |
Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery |
2024-05-03 09:03:10 |
| freemocap |
1.2.2 |
A free and open source markerless motion capture system for everyone 💀✨ |
2024-05-01 16:54:16 |
| fedml |
0.8.30 |
A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale. |
2024-04-30 17:17:36 |
| kmeans-tjdwill |
1.0.3 |
A function-based implementation of k-means clustering that maintains data association. |
2024-04-29 03:06:44 |
| Robocon-24 |
0.3.3 |
This project is designed to detect balls and make decisions based on their positions in the context of a Robocon competition. |
2024-04-27 20:42:30 |
| edgeiq |
2.3.1 |
Build computer vision applications for the edge quickly and easily. |
2024-04-25 17:28:37 |
| skellytracker |
2024.4.1014 |
Top-level package for skellytracker |
2024-04-25 17:24:45 |