Complex-YOLOv4-Pytorch
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maudzung
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
Evaulate.py give f1, precision, AP and recall for classes car, pedestrian and cyclist but how to get the same for easy, medium and hard category wise within a class??
Can anyone help me with the errors that come up when I try to use the test.py file (python test.py --gpu_idx 0 --pretrained_path ../checkpoints/complex_yolov4/complex_yolov4_mse_loss.pth --cfgfile ./config/cfg/complex_yolov4. cfg --show_image)? - Can't...
Bug in src/data_process/kitti_bev_utils.py; function drawRotatedBox(); line 168 I had to cast every one of these values from "corners_int" variable to int as there were actually floats. cv2.line() then raised an...
**Say if I want to train with 1000 bin files, what modifications should be done in the code?** - I tried changing this, did now work.  - I also...
i've tried the code on a computer with graphic card GTX 1050 Ti and i still got the Cuda out of memory error, when i tried to lowed the batch...
In the paper formula used for density map is as follows: zr (Sj ) = min (1.0, log(N + 1)/64) But in the code it is: normalizedCounts = np.minimum(1.0, np.log(counts...
does anybody know, how can I obtain the coordinates(x,y,z) of the detected object?
As per the Complex Yolo paper, in the G field of RGB map of point cloud maximum height is encoded. zg (Sj ) = max(PΩi→j · [0, 0, 1]T )...
Issue : When load a model for evaluating and testing by default, not get a device information from args.gpu_idx, but read it from the pre-train model(.pth). In a yolov4 case,...
Hey firstly thank you for this amazing contribution, can I get the trained models, the .pth ones?
