hi ,you made a wonderful video really it is amazing i thankful to you after training when i try to detect the object it doesn't show any bounding boxes ... could you plz tell me what is the problem
You can use detect.py file and pass your trained model with video as arguments, it will start detecting the objects. Moreover, you can also convert model into onxx format and get inference from onxx inference
Hi! I have a dataset including images with different sizes and their annotations are created based on these sizes (bounding boxes, for example), can I use Yolov7 to train this dataset? I also see that your label file contains (class x y z o), could you please tell which one is x_min, x_max, y_min and y_max among those x, y, z, o? Thanks.
Great tutorial, can you also tell what should i do to resolve error like "AssertionError: train: No labels in ../Data/train/labels.cache.".I created custom dataset on dogs and cats classification with labelimg @karndeep Singh
@karndeep Singh I also faced the above problem. my custom.yaml is as train: /content/drive/MyDrive/yolov_7/train/images val: /content/drive/MyDrive/yolov_7/val/images
I have an error while trying to import dataset from my drive MessageError Traceback (most recent call last) in 1 from google.colab import drive ----> 2 drive.mount('/content/drive') 3 frames /usr/local/lib/python3.7/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec) 100 reply.get('colab_msg_id') == message_id): 101 if 'error' in reply: --> 102 raise MessageError(reply['error']) 103 return reply.get('data', None) 104 MessageError: Error: credential propagation was unsuccessful
big up brother you helped me a lot
Sir jb hum testing krte hai to bounding boxes nhi aa rhe hai ,how can we solve this problem? 😔
Thanks for the detailed video. Really very helpful
Deserves more like & share, next video could be on how to contenarize & deploy as app !
You are doing good job👏
Many thanks for this ! Cheers !👏
What does --img 416 mean ??
hello, how do i perform transfer learning, this is the term for adding more training to my pre-trained custom dataset right?
Sir, can you please tell me how to calculate the overall accuracy of the particular trained yolov7 model after testing an image in Google colab.
Run val.py script to get accuracy
hi ,you made a wonderful video really it is amazing i thankful to you
after training when i try to detect the object it doesn't show any bounding boxes ...
could you plz tell me what is the problem
May be you need to train it on more samples
hi guys how can i find pretrained weigths set like a hardhalmet pretrained set
Hi, Tha,k you, is there any way to use .pt file with Opencv
Clear tutorial
why test.py testing the validation images? why not test images instead?
Thanks for the amazing tutorial. Can you make a video on how to load a model or how to use it on real time using our webcam?
You can use detect.py file and pass your trained model with video as arguments, it will start detecting the objects. Moreover, you can also convert model into onxx format and get inference from onxx inference
@@karndeepsingh thank you!
Hi!
I have a dataset including images with different sizes and their annotations are created based on these sizes (bounding boxes, for example), can I use Yolov7 to train this dataset?
I also see that your label file contains (class x y z o), could you please tell which one is x_min, x_max, y_min and y_max among those x, y, z, o?
Thanks.
Hey! Did you find an answer for your first question?
Great tutorial, can you also tell what should i do to resolve error like "AssertionError: train: No labels in ../Data/train/labels.cache.".I created custom dataset on dogs and cats classification with labelimg @karndeep Singh
If you have to mention the directory ./data/train/images
@@karndeepsingh Thanks
@karndeep Singh I also faced the above problem. my custom.yaml is as train: /content/drive/MyDrive/yolov_7/train/images
val: /content/drive/MyDrive/yolov_7/val/images
𝓟Ř𝔬𝓂𝔬𝐒ϻ ✋
I have an error while trying to import dataset from my drive
MessageError Traceback (most recent call last)
in
1 from google.colab import drive
----> 2 drive.mount('/content/drive')
3 frames
/usr/local/lib/python3.7/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec)
100 reply.get('colab_msg_id') == message_id):
101 if 'error' in reply:
--> 102 raise MessageError(reply['error'])
103 return reply.get('data', None)
104
MessageError: Error: credential propagation was unsuccessful