avanetten / yoltv5 Goto Github PK

How can i apply YOLOt on Geo Tiff satellite images, and extract the real x,y coordinate for the bounding box ?!
Not just deal with the image an normal png or jpg image !

Thank you for your work. I have some questions about your project code:
I looked at the model you called YoloV5 in the middle, but did not see the operation about model modification mentioned in your article (modifying the image network structure, such as modifying the Stride size, upsampling the image, and Ensemble).
The most important thing is that you do not read the model. yaml configuration file like YOLOv5, how did you switch the detection framework of YOLOV5 to YOLT?

I tried to test this code in Window 10.

How can I resolve this issue?
Please help me.

-----------Error message-----------------------------
Traceback (most recent call last):
File "yolov5/train.py", line 666, in
main(opt)
File "yolov5/train.py", line 536, in main
check_file(opt.data), check_yaml(opt.cfg), check_yaml(opt.hyp), str(opt.weights), str(opt.project) # checks
File "C:\Users\user\Desktop\yoltv5\yoltv5\yolov5\utils\general.py", line 435, in check_file
assert len(files), f'File not found: {file}' # assert file was found
AssertionError: File not found: yoltv5_train_vehicles_8cat.yaml

<Folder hierarchy 01>

<Folder hierarchy 02>

<Folder hierarchy 03>

Why is [::-1] used for sorting in NMS? Doesn't this place the lowest scores at the end?

I am trying to run yoltv5 on Anaconda - Windows and using jupyter notebook. ran the requirements.txt file and followed the readme.
I was able to train yoltv5. The code filled the ../runs/train/ directory

However, I tried the test script
!python test.py C:\Users\Documents\Projects\code\yoltv5\configs\test.yaml
and got an error

Traceback (most recent call last):
File "C:\Users\Documents\Projects\code\yoltv5\yoltv5\test.py", line 53, in
import eval
ModuleNotFoundError: No module named 'eval'

I couldn't find an eval.py file, what am I missing ?

Thanks in advance

How many epochs and batchsize gives the best result for a dataset of 2000 size and contains mix of large and small objects?

I do not see any Spacenet datasets that even remotely resemble this use case

For creating training datasets, is it possible to train the YOLTv5 model using data that was setup for the YOLOv5 format or must it go through the prep_train.py processing to be accepted for training by YOLTv5? Also just to confirm, but for creating training datasets using prep_train.py, are the only two inputs required the training image (.tif) and relavent geojson representing bounding boxes within this image? The main function () seems to be missing the same level of comments/clarification as the other functions in prep_train.py.

P.S. Just curious, for the helper function in prep_train.py called "yolo_from_df", a dataframe of polygons is required as input which the comments said could be created using: DA_Dataset/gj_to_px_bboxes.ipynb. I cant seem to find that ipynb notebooko anywhere in this repo or online. Some directions on how to access this would be greatly appreciated so I can try creating training datasets to test out YOLTv5

Thanks!

Is there a specific spacenet dataset that includes vehicle labels? The only one I can see is for buildings.

cheers!

Is it compulsory for images to be in .tif format only. will this training run with .jpg or .png format?

Hi,
Is there any support or documentation available to run Yoltv5 on Jetson Nano or Xavier?
Thanks & Regards
-Siva

occur this error， please help me