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YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
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Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
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Head and Person detection using yolov5. Detection from crowd.
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YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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yolov5 reviews and mentions
SS: Events triggered no matter the detection zone specified
2 projects | /r/synology | 3 May 2023
What I did is hand off my detections to an Nvidia GPU running Yolov5 https://github.com/ultralytics/yolov5 which does the triggering if it's an object class I'm interested in. Since Synology is always caching at least 5 seconds of camera video the 50-100mS delay of grabbing a frame and analyzing before triggering recording is fine. Wish they'd implement something like this.
AMD ROCm 5.5 In The Process Of Being Released
4 projects | /r/Amd | 2 May 2023
this is about all I could find, maybe you've been getting different degrees of optimized python libs that do the image resizes. https://github.com/ultralytics/yolov5/issues/11469
good computer vision or deep learning projects in github
9 projects | /r/deeplearning | 22 Apr 2023
YOLOv5 (GitHub: https://github.com/ultralytics/yolov5) is a fast, accurate object detection model with code for training, testing, deployment, and pre-trained weights.
[D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
4 projects | /r/MachineLearning | 18 Apr 2023
Those dimensions suggest you need to apply (i.e. roll your own) non-max suppresion to the outputs: relevant link
Thought Dump About Recent AI Advancements And Palantir
2 projects | /r/PLTR | 29 Mar 2023
- YOLOv5 https://github.com/ultralytics/yolov5 (open source, so not Palantir's)
How to build computer vision dataset labeling team in-house
4 projects | dev.to | 28 Mar 2023
A team of annotators and the infrastructure described in this article I needed to label my dataset, which was collected from cameras on the road (30k+ photos). This dataset was necessary to train an object detection model on six classes: [person, car, bus, bicycle, motorcycle, truck]. I released the dataset, created in this manner, as open source, and it can be downloaded here (link) together with trained YOLOv5s and YOLOv5x models from a popular repository (link) using this dataset. The license is simple: "Use it well"!
Flutter Object Detection App + YOLOV5 Model.
3 projects | dev.to | 15 Feb 2023
Before you can use YOLOv5 in your Flutter application, you'll need to train the model on your specific dataset. You can use an existing dataset or create your own dataset to train the model. For this post I am using the pretrained model of yolov5 available on https://github.com/ultralytics/yolov5 as we are performing object detection we need to converts the pretrained model weights to torchscript format.
3 projects | /r/pytorch | 12 Feb 2023
Thank you Link to the codefor taking the time to reply. I have modified the code as you suggested. And now I see the GPU being utilized. But the precision, recall, mAP is all zero. At least it displays as zero.
NVIDIA Jetson AGX Orin is now compatible with balena
4 projects | dev.to | 9 Feb 2023
Read more here about how Theia Scientific is currently using the newest NVIDIA Jetson AGX Orin on their fleet of microscopes. Theia Scientific and Volkov Labs, improved the Jetson AGX Orin inference speeds up to 30FPS. The Jetson AGX Orin running YOLOv5 tripled the Frames-per-Second (FPS) compared with the latest Jetson AGX Xavier.
Roboflow 100: A New Object Detection Benchmark
5 projects | news.ycombinator.com | 28 Dec 2022
Haven't heard of those two, but would be really awesome to see an integration. We have an open API for just this reason: we really want to make it easy to use (and source) your data across all the different tools out there. We've recently launched integrations with other labeling and AutoML tools (and have integrations with the big-cloud AutoML tools as well). We're hoping to have a bunch more integrations with other MLOps tools & platforms in 2023.
Re synthetic data specifically, we've written a couple of how-to guides for creating data from context augmentation, Unity Perception, and Stable Diffusion & are talking to some others as well; it seems like a natural integration point (and someplace where we don't need to reinvent the wheel).
A note from our sponsor - #<SponsorshipServiceOld:0x00007f0920d8b848>
www.saashub.com | 8 Jun 2023
ultralytics/yolov5 is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of yolov5 is Python.