YOLOX
RPi_64-bit_Zero-2-image
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| YOLOX | RPi_64-bit_Zero-2-image | |
|---|---|---|
| 12 | 3 | |
| 9,012 | 24 | |
| 1.5% | - | |
| 1.5 | 0.0 | |
| about 2 months ago | about 2 years ago | |
| Python | ||
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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YOLOX
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Learning Exchange, lets training YoloX
So I am trying to do my best and train YOLOX for an object detection case using Google Colab.
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Understanding heatmaps
https://github.com/Megvii-BaseDetection/YOLOX I have only tried the pretrained yolo X nano. I get corner responses even if the inference image is padded with a large margin which is unexpected
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Open discussion and useful links people trying to do Object Detection
* Nice implemention of Yolo that is BSD license (not GPL) https://github.com/Megvii-BaseDetection/YOLOX
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[P] Image search with localization and open-vocabulary reranking.
I wanted to have a few choices getting localization into image search (index and search time). I immediately thought of using a region proposal network (rpn) from mask-rcnn to create patches that can also be indexed and searched (and add the localisation). I figured it might be somewhat agnostic to classes. I did not want to use mmdetection or detectron2 due to their dependencies and just getting the rpn was not worth it. I was encouraged by the PyTorch native implementations of detection/segmentation models but ended up finding yolox the best.
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DeepSort with PyTorch(support yolo series)
Megvii-BaseDetection/YOLOX
- [D][P] YOLOv6: state-of-the-art object detection at 1242 FPS
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Looking for help for hire
Modern video can be broken into a series of still problems. AI vision models can make these types of classification in as fast as video. Here is a particularly there is a controversial company from China that does this very well on faces in video and they have open sourced the models: https://github.com/Megvii-BaseDetection/YOLOX
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High-tech
Not really a problem, see results here. Just use yolox_x. Thank you for your attention.
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Advice on Masters project | Vision transformers
From what I understand the swin transformer outputs a single dimension feature vector and the yolo head takes inputs from 3 different layers from the backbone?? and I think I will need to write the backbone implementation here.
- Is YOLOX object detector NMS free?
RPi_64-bit_Zero-2-image
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One year on, 64-bit vs 32-bit OS
For Zero 2, with 64-bit you are trading (somewhat) increased performance for available memory. So, really, the choice should depend on what you need more of.
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Building a compact Pi cluster
the 64-bit performance of Bullseye on the Pi Zero 2 W may not be ideal and I may need to rebuild with 32-bit on the nodes
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Install A Raspberry Pi Zero 2 64-bit OS Buster with OpenCV, TensorFlow Lite and ncnn
They helpfully pre-rolled an image on their github with additional instructions here https://github.com/Qengineering/RPi_64-bit_Zero-2-image
What are some alternatives?
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
ReactionGame - An OpenCV and C++ based Mini-game
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
dandere2x-tremx - Dandere2x Tremx implementation / flavor. Unmaintained and broken WONTFIX, my focus is on my other project MMV. Please use akai-katto's mainstream dandere2x instead, it's better in many aspects. This was my first serious Python project, learned a lot from it.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
iTerm2 - iTerm2 is a terminal emulator for Mac OS X that does amazing things.