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Design and implement a pipeline using segmentation models to extract a mask of the track and output three control values (range of 0-255):
- Throttle
- Steering
- Braking
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### Describe the Bug
I have 2 files, 1 a DICOM series the other a segmentation from the series, which both display perfectly on there own however when loading the segmentation to display over the DIC…
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### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no si…
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Thanks for this implementation. Can this model handle rgb images.
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Could you tell me how to calculate PSNR and SSIM of color image in the paper?
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Hello,
First of all, thanks for the module, it is working in some cases.
However, I have a false positive with a lot of images, it returns true at the following conditional:
```
// CMYK
…
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Priya,
Excellent work.
How could I feed grayscale images instead of using RGB? My cameras do not produce RBG images, so I shall not train with RGB images. I thought maybe you have a tip on how to …
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Hello.
I tried to get a 3D point cloud using a RGB-D data from SynWoodScape dataset.
I used the project_2d_to_3d function in the Camera class at projection.py .
It works well when using FV, RV imag…
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While rendering the objects, i am getting the black image for RGB images, is there anything wrong am i doing? Followed the instructions mentioned on the readme file.
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Hi,
I would like to train an object detector on RGB-D images and therefore extend YOLO/darknet to accept 4-channel images for this purpose. So far I struggle to load 4-channel images and feed them …