flockfysh
yolov3
flockfysh | yolov3 | |
---|---|---|
1 | 4 | |
3 | 10,017 | |
- | 0.6% | |
10.0 | 8.4 | |
over 1 year ago | 12 days ago | |
Python | Python | |
BSD 4-Clause "Original" or "Old" License | GNU Affero General Public License v3.0 |
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flockfysh
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[P] We built a tool to auto generate image & object-detection datasets
Here's the link to the tool: https://github.com/teamnebulaco/flockfysh
yolov3
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[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion.
Hey. I only have experience using the official repository, and only use Linux. Could you try the solutions here and see if it helps? https://github.com/ultralytics/yolov3/issues/1643
- How to train a model for object detection in Golang?
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Engineering Student AI model turns sign language to English in real time.
YOLOv3: https://github.com/ultralytics/yolov3
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I don't know how to train a YOLO v3 model with some custom data that is labeled in an unusual form (XML files)
Each image has an XML file associated with it. The XML files have the corresponding labels and bounding boxes, so I can write a script to convert them into this form, and follow this tutorial on training custom data.
What are some alternatives?
autodistill - Images to inference with no labeling (use foundation models to train supervised models).
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection
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
yolov5-crowdhuman - Head and Person detection using yolov5. Detection from crowd.
fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)