Object Detection walk-through

[gheinrich]

No description provided.

[lukeyeager]

Maybe just say DIGITS 4.0?

[douzsh]

I tried to train detectNet with Digits. Everything is OK after I applied the latest changes but the result is always 0... 50 zero boxes after forward_net. I don't know why.
I used the prototxt in NVIDIA/caffe/examples/kitti. Do you have any suggestion?

[lukeyeager]

The screenshots for the home page and for the "New Object Detection Dataset" page need updating with the latest UI changes.

[jmancewicz]

Maybe mention adding the Pretrained model if downloaded.

[gheinrich]

I think that's mentioned on line 83

[IsaacYangSLA]

@gheinrich I will try it on Windows and get the results.

[lukeyeager]

Isaac, if you do want to try this on Windows, check the latest updates to this pull request. I updated it to change the suggested learning rate, etc.

[RSly]

Hi, I was checking this walk-through to reproduce the results.
I couldn't follow the part regarding the Kitti database and .txt label format. I could download some txt files (data_object_label_2.zip, are these the good ones?), but It was not clear what is in those .txt files (looks like 3D bounding boxes?)

=> could you please provide the links (or the name of the zip files) to the images and labels to be used for this walk-through?
=>Also, in order to train with other databases, an example of such files with a little explanation of what should go to the label .txt can be of great help (can it be like [x,y, width, height, category] of a bounding box? what should it be?).

Thanks

[Greendogo]

It would definitely be helpful to more clearly define the datasets we're to download.
From here: http://www.cvlibs.net/datasets/kitti/eval_object.php
I can see that they are quite large, and I'd rather not download one only to find out it was the wrong one later:

Download left color images of object data set (12 GB)
Download right color images, if you want to use stereo information (12 GB)
Download the 3 temporally preceding frames (left color) (36 GB)
Download the 3 temporally preceding frames (right color) (36 GB)
Download Velodyne point clouds, if you want to use laser information (29 GB)
Download camera calibration matrices of object data set (16 MB)
Download training labels of object data set (5 MB)
Download object development kit (1 MB)

[douzsh]

Download left color images of object data set (12 GB)
Download training labels of object data set (5 MB)

I think these two sets are what you need.