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The Boxy dataset is a pseudo 3D annotation. The 3D box of the kitti data set is obtained through lidar labeling box mapping. The 3D boxes obtained by these two Datasets are different, so how to deal w…
WSTao updated
3 years ago
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Hello, thanks for all your nice tutorials on the sdk. I've followed quite some without any problems (the ones from the docker part and ResNet50) but when I tried to follow yolov4 neuron compilation tu…
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**Event Server version**
```
6.0.7 (currently testing commit 534c0b595e3c07d6a5a9ed285884532c4d3b0ee7)
```
**Hooks version (if you are using Object Detection)**
```
hooks:6.0.7 pyzm:0.3.…
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For more interesting experiments, models available on DSP, GPU are required.
As DSP needs INT8 quantized models (in case of GPU, INT8/FLOAT16), we need quantized `tflite` models:
* Current availab…
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I was able to train YOLOv4 Tiny with my custom dataset on traffic object detection. However, after I ran `demo` with output .mp4 file, the objects are detected but the bounding boxes predicted are sma…
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I have trained a custom tiny YoloV4. While the training was successful, the execution using `detection_custom.py` ends with:
```
Two checkpoint references resolved to different objects ( and ).
…
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Today Zoneminder stopped. Then I started the container and object detection stopped working. Have reinstalled few times also.
```
2021-01-05 15:51:39 | zmesdetect_m5 | | 1406 | INF | Importing…
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Hello,
I trained a custom yolov4-tiny object detection model using Darknet with 512x512 resolution, and I noticed that if I lower the inferencing resolution slightly within Darknet to 480x480, the …
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Hi there
(Decided to open a new ticket to keep the issues separate)
As discussed before, have installed zmeventnotification.pl and it now runs without returning. Chrome SimpleWebSocket Client in non …
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Hello,
I wanted to ask about how the YOLO Region layer replacement works with regard to original Darknet parameters, specifically with respect to the sigmoid function and scale_x_y parameter.
…