falken
yolov3
| falken | yolov3 | |
|---|---|---|
| 2 | 4 | |
| 253 | 10,009 | |
| 0.0% | 0.5% | |
| 0.0 | 8.4 | |
| about 1 month ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
falken
- How long until AI can play a game like Red Dead Redemption 2?
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Google AI Introduces A Machine Learning Based System For Game Developers To Quickly And Efficiently Train Game-Testing Agents
Google AI recently announced a machine learning-based framework that game developers could use to train game-testing agents quickly and efficiently, freeing human testers to focus on more complicated problems. The resulting system requires no machine learning (ML) expertise, works with a wide range of popular game genres, and can train an ML policy, which generates game actions from the game state on a single game instance in less than an hour. Google AI has also provided an open-source library that shows how these techniques may be used in practice.
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?
f-IRL - Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
imitation - Clean PyTorch implementations of imitation and reward learning algorithms
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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
yolov5-crowdhuman - Head and Person detection using yolov5. Detection from crowd.
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
yolo-hand-detection - A pre-trained YOLO based hand detection network.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.