PyDigger - unearthing stuff about Python


NameVersionSummarydate
hespi 0.5.0 HErbarium Specimen sheet PIpeline 2024-10-02 08:59:29
patched-yolo-infer 1.3.1 Patch-Based-Inference for detection/segmentation of small objects in images. 2024-09-23 09:37:25
obj.mpp 2024.6 Object/pattern detection using a Marked Point Process 2024-09-10 15:00:15
pymaia-learn 1.1 Python Package to support Deep Learning data preparation, pre-processing. training, result visualization and model deployment across different frameworks (nnUNet, nnDetection, MONAI). 2024-08-29 09:46:40
globox 2.4.6 Globox is a package and command line interface to read and convert object detection databases (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC. 2024-08-25 17:41:21
VehicleDetectionTracker 0.0.32 VehicleDetectionTracker 🚗: Effortlessly track and detect vehicles in images and videos with advanced algorithms. 🚙🚕 Boost your computer vision project!" 🔍📹 2024-08-10 13:06:01
mmdet-open 3.3.0 OpenMMLab Detection Toolbox and Benchmark 2024-07-19 21:59:08
deepsparse-ent 1.8.0 An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application 2024-07-19 16:32:32
mmyolo-open 0.6.1 OpenMMLab Toolbox of YOLO 2024-07-19 16:31:00
deepsparse 1.8.0 An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application 2024-07-19 16:29:01
evaldet 0.4.1 Evaluation for Detection and Tracking 2024-07-12 05:21:56
gvision 1.0.4 End-to-end automation platform for computer vision projects. 2024-07-07 09:16:41
wheresmycar 0.0.2.5 Detect vehicle license plates 2024-07-01 11:19:07
ImageLabelingTool 0.1 Simplify the process of labeling images or video frames with bounding boxes for object detection tasks. 2024-06-05 23:10:08
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
ever-beta 0.4.1 A Library for Earth Vision Researcher 2024-03-31 06:38:23
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