Jim Meyer

It looks you just have to update `nc` in the dataset yml file. That overrides the `nc` in the model yml file. See https://github.com/WongKinYiu/yolov7/blob/main/models/yolo.py#L510-L512

I'm running into the same thing with 0.9.0. I created a literal "hello world" app on Windows whose main() just does printf("Hello world") and that's it. IIRC I compiled it...

I'm seeing a mismatch between the docs and the code. The docs that @brimoor points to only refer to how the `dataset_dir` argument to `fo.Dataset.from_dir()` works. But `fo.Dataset.from_dir()` accepts `labels_path`...

@shensheng272 There is a bug [here](https://github.com/meituan/YOLOv6/blob/main/yolov6/data/datasets.py#L572) where the code is not using `.lower()`. So either that line needs to be changed to call `.lower()`, or `IMG_FORMAT` needs to include both...

I ran into this same error while using the AWS DL AMI (Deep Learning AMI (Ubuntu) Version 10.0 (ami-23c4fb46)) and following, as far as I can tell, the same steps...

I see that epratheeban has the solution to my problem mentioned here https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10/issues/11: It's easy. Go to the utils folder. Find the learning_schedules.py file. Go to the line 167. And...

Looks like you probably did not follow all of the steps in 2a, "Download TensorFlow Object Detection API repository from GitHub" and/or 2b, "Download the Faster-RCNN-Inception-V2-COCO model from TensorFlow's model...

@ShubhranshuMaurya that error seems to indicate that there is something wrong with C:\Tensorflow\workspace raining_demonnotations/label_map.pbtxt. Have you opened that file in a text editor to see if it looks right? That...

I noticed the same thing @MrMho . It sure looks like they need to be swapped. It's only noticeable in non-1:1 aspect ratio images though.

Yeah, support for negation logic seems to be hit and miss (mostly miss?): `docker ps --filter "name!=localstack"` yields `Error response from daemon: Invalid filter 'name!'` for me despite the docs...