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Hey there,
This repo is claiming to be YOLOv5: https://github.com/ultralytics/yolov5
~~They released~~ a blog here: https://blog.roboflow.ai/yolov5-is-here/
It's being discussed on HN here: h…
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Training hyperparameters in this repo are defined in train.py, including augmentation settings:
https://github.com/ultralytics/yolov3/blob/df4f25e610bc31af3ba458dce4e569bb49174745/train.py#L35-L54
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2.35GB ram is being consumed. Any way to reduce it?
Any reason why it is this much?
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## Description
~/anaconda3/TensorRT-B/01_YOLO_V3_UFF/TensorRT/yolov3_onnx$ python onnx_to_tensorrt_video.py
Loading ONNX file from path ./zj_yolov3.onnx...
Beginning ONNX file parsing
Completed…
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Due Feb 14th
Acceptance Criteria:
- Decide on the main accomplishments of our work. (What have we already done and what will we soon accomplish?)
- Write the methodology portion of the paper.
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@PINTO0309 Hi,
Nice work with YOLOv4 / tiny!
As I see you use:
* **NCHW** for: OpenVINO (xml / bin), Darknet (cfg / weights)
* **NHWC** for: `TFLite`, `Keras` (yolov4_tiny_voc.json / yolov4_ti…
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After comparing the inference speed of YOLOX-nano and YOLOX-tiny on the Jetson NX using tensorrt, I realized that YOLOX-tiny is faster (tiny: 60 ms, nano: 100ms).
Is there an explanation for that?
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Hello,
I have Jetson Nano boards on Jetpack 4.2 in large quantities.
Can I run this repo with TensorRT 5.0.6.3 that comes with Jetpack 4.2?
I see in the readme, it says you were able to run thi…
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All right, so, I have a PyTorch detector SSD with MobileNet. Since I failed to convert model with NMS in it (to be more precise, I converted it, but TRT engine is built in a wrong way with that .onnx …
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如题