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  1. TensorRT YOLOv4 - GitHub Pages

    • Please just follow the step-by-step instructions in Demo #5: YOLOv4. The steps include: installing requirements (“pycuda” and “onnx==1.9.0), downloading trained YOLOv4 models, converting the downloa… See more

    About “Download_Yolo.Py”

    The download_yolo.py script would download pre-trained yolov3 and yolov4 models (i.e. cfg and weights) from the … See more

    About “Yolo_To_Onnx.Py”, “Onnx_To_Tensorrt.Py”, and “Trt_Yolo.Py”

    I modified the code so that it could support both YOLOv3 and YOLOv4 now. I also verified mean average precision (mAP, i.e. detection accuracy) of the optimized TensorRT yolov4 engines. I summarized the results i… See more

    TensorRT 7 vs. Darknet

    Previously, I tested the “yolov4-416” model with Darknet on Jetson Nano with JetPack-4.4. This time around, I tested the TensorRT engine of the same model on the same Jetson Nano platform. Here is the comparison… See more

    Yolov4 vs. Yolov3

    The following tables show comparisons of YOLOv4 and YOLOv3 TensorRT engines, all in FP16 mode. In terms of mAP @ IoU=0.5:0.95: Higher is better. (Tested on my x86_64 PC with a GeForce RTX-2080Ti GPU.) In te… See more

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  2. GitHub - jkjung-avt/tensorrt_demos: TensorRT …

    Download the pre-trained yolov3/yolov4 COCO models and convert the targeted model to ONNX and then to TensorRT engine. I use "yolov4-416" as example below.

     
  3. AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - GitHub

  4. TensorRT SDK - NVIDIA Developer

    TensorRT can optimize AI deep learning models for applications across the edge, laptops and desktops, and data centers. It powers key NVIDIA solutions, such as NVIDIA TAO, NVIDIA DRIVE, NVIDIA Clara™, and NVIDIA JetPack™. …

  5. Object Detection using TAO YOLOv4 - Google Colab

  6. GitHub - 11rocky/tensorrt_yolo: yolov3/v4 on tensorrt, with fp32, …

  7. Converting yolov4 onnx model to TensorRT for multi batch input

  8. Increase YOLOv4 object detection speed on GPU …

    Aug 25, 2020 · NVIDIA TensorRT is a high-performance inference optimizer and runtime that can be used to perform inference in lower precision (FP32, FP16, and INT8) on GPUs. Its integration with TensorFlow lets you apply TensorRT …

  9. laitathei/YOLOv4-Darknet-TensorRT - GitHub

  10. YOLOv4: Train on Custom Dataset | Haobin Tan

  11. YOLOv4 with TensorRT engine - NVIDIA Developer

  12. TensorRT OSS build - NVIDIA Developer Forums

  13. NVIDIA Deepstream Quickstart. Run full YOLOv4 on a Jetson …

  14. compare YOLOv3, YOLOv4, and YOLOv10 : r/computervision

  15. Object Detection using TAO YOLOv4 Tiny - Google Colab

  16. YOLOv4 on Triton Inference Server with TensorRT - GitHub

  17. Scaling LLMs with NVIDIA Triton and NVIDIA TensorRT-LLM …

  18. GitHub - Tianxiaomo/pytorch-YOLOv4: PyTorch ,ONNX and …

  19. Yolov5 Yolov4 Yolov3 TensorRT Implementation - GitHub

  20. GitHub - kiyoshiiriemon/yolov4_darknet: YOLOv4 - Neural …

  21. GitHub - airzeus/yolov4pt: PyTorch ,ONNX and TensorRT …

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