stable-diffusion-dream
yolov3
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| stable-diffusion-dream | yolov3 | |
|---|---|---|
| 1 | 4 | |
| 2 | 9,992 | |
| - | 1.0% | |
| 10.0 | 8.5 | |
| over 1 year ago | 5 days ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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stable-diffusion-dream
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[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion.
or a fork based on lstein that sometimes has some branches with new stuff, but they're pretty even at the moment. https://github.com/BaristaLabs/stable-diffusion-dream
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?
textual_inversion
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
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.