When I try to run the train.py script I get the following issue: Traceback (most recent call last): File "train.py", line 492, in train(hyp, opt, device, tb_writer, wandb) File "train.py", line 91, in train model = Model(opt.cfg, ch=3, nc=nc).to(device) # create File "/content/yolov5/models/yolo.py", line 95, in __init__ self._initialize_biases() # only run once File "/content/yolov5/models/yolo.py", line 150, in _initialize_biases b[:, 4] += math.log(8 / (640 / s) ** 2) # obj (8 objects per 640 image) RuntimeError: a view of a leaf Variable that requires grad is being used in an in-place operation. Does anyone know How to Fix This?
from utils.utils import plot_results; plot_results() # plot results.txt as results.png Image(filename='./results.png', width=1000) # view results.png This is not working, I just copied your code, giving me an error "ModuleNotFoundError: No module named 'utils.utils'". Kindly anybody help me asap. Thanks.
Can you tell how to change the model architecture? Like the layers. I would appreciate that. If you have already made a made for that please leave a link to that. Thanks.
hi, may I ask how to use a "Try this model drop an image" box in a library that already exist? cuz when I drop the image it cant be detected an just shown this command { "predictions": [] }
Its very nice. How can I download this model to my PC ? Is the weights are sufficient ?? I need the architecture also right ?? I want to make an android app for object detection , any tutorial available on that ? Pardon for any mistake in the question , I am a beginner.
Isn't there some offline way to do this I'm trying to build a robot that can learn like detect a human check the other dataset for name if no name pops up it start a low frame rate video recording of the human box and says hi my name is whatever what's your name what ever you say get processed and converted to text and repeats your name back to you and once you confirm your name it it says please turn around and let me look at you and 5 seconds later it says nice to meet you and by that time it's got enough video so that's stopped and converted into pictures frame by frame with the box already set from the human box a few raspberry pi's should do the trick one for the human box one for names one for body controls one for counting money I want to send it to the dollar store for me a guy trained it to see cards counting money should be easy all I need is the yolo working from there shell shript is like child's play to me I was coding since it-83+ came out in middle school but yolo is like made by some genius forgot about the normals with less than than a 140iq I'm not all that dumb iq is 111 but this shit makes me feel like maybe I should retire and just stick to I.T.
I have my own GPU i can train on, how would i go about doing that? don't want to use external websites with the datasets i have, as they are very limited.
# this is the YAML file Roboflow wrote for us that we're loading into this notebook with our data %cat data.yaml I do not see the file and get the "error cat: data.yaml: No such file or directory"
Hi Joseph .A great tutorial. The dataset you used was heavily unbalanced. The augmentation is performed on all images combined and not the ones that were misrepresented(WBC AND platelets). Don't you thing that the trained model will be biased towards RBC? Could you give some suggestions how to cope with unbalanced dataset? or should I perform augmentation on the least represented classes?
This worked GREAT for me! The best part was that it showed my training images and their labels, and it made me realize my training set was mis-labeled :)
i have watched like above 20 videos for this purpose but i mean it this one vid is much more simplified easy steps going on just well explained good quality, not too fast not too slow or boring explanation just amazing !
I encountered some problem while executing this line: %%time %cd /content/yolov5/ !python train.py --img 416 --batch 16 --epochs 100 --data '../data.yaml' --cfg ./models/custom_yolov5s.yaml --weights '' --name yolov5s_results --nosave --cache and it comes out like this: /content/yolov5 Traceback (most recent call last): File "train.py", line 481, in opt.data, opt.cfg, opt.hyp = check_file(opt.data), check_file(opt.cfg), check_file(opt.hyp) # check files File "/content/yolov5/utils/general.py", line 70, in check_file assert len(files), 'File Not Found: %s' % file # assert file was found AssertionError: File Not Found: ./models/custom_yolov5s.yaml CPU times: user 8.98 ms, sys: 6.35 ms, total: 15.3 ms Wall time: 1.92 s I have no idea what went wrong, can you help me :(
Hi, I'm working on a project and I need help with something. How do I find the correct epoch size for my project? Different tutorial videos on your channel have different epoch sizes. How do you determine this?
Hi, my folder 'weights' is not able to get the 'last_yolov5s_results.pt', the unique file contained after running all the code is 'download_weights.sh'. Does anyone know how to fix this issue? Thanks so much in advance.
how many trainable parameters does yolo5 have? does your training start with a pre trained model that used the coco dataset? if you use existing weights won't you need to re code the network head to change the classes to your own?
Trying to do this but getting the following error: Traceback (most recent call last): File "train.py", line 531, in train(hyp, opt, device, tb_writer, wandb) File "train.py", line 191, in train assert mlc < nc, 'Label class %g exceeds nc=%g in %s. Possible class labels are 0-%g' % (mlc, nc, opt.data, nc - 1) AssertionError: Label class 1 exceeds nc=1 in ../data.yaml. Possible class labels are 0-0
I am not getting test train val folders in colab after entering the key in colab.. Can anyone help me with this...and I am also unable to get testvalues file for generating ground images...I need help
I honestly don't understand why this model is working in Colab and does not working on my PC. It's always displaying nan loss. But pytorch setup is working well with other network architectures. What can be a problem with it?
I've been trying to use Yolov5 with PyTorch for the past few days... but there are some massive memory leaks during training. I'm constantly having to reboot.
@Roboflow "RuntimeError: non-positive stride is not supported" I get this error when I run the training command. My architecture is the same as the video. Does anyone else get this?
Good day! We have some issues with object detection on custom datasets and would be appreciated any advice. Is it possible to have a 1-hours consultation?
Dude thanks this video was really helpful. Just asking when i wanted to use roboflow to create my own data i didn't found the place where i have to use to generate data is it the new version that's why. Btw thanks again.
Is it possible to just augment to the objects that yolov5 can detect already? Like for example I have a dataset of streetview images and I want to detect trees aside from cars and motorcycles. Do I have to retrain yolov5 again to detect cars and motorcycles, when it is already included in the original coco128.yaml file?
At 18:35 1) If we want to combine our custom set in default which yolov5 given sets is it possible? and how 2) or can we delete some classes that we doesn't needs? I would like to make custom sets with person classes, But if I made custom sets in your videos' method Maybe i think i have to make person dataset again . ( I'd like to add my customs to the existing default datasets. )
Thanks Roboflow and Joseph for wonderful tutorial, but im struggling to convert best.pt to .onnx file as all tutorials using .pth extension and torch.load() failing for .pt file, please help me on this
Thank you Roboflow , thank you Joseph for this Excellent tutorial and colab notebook. I want to create custom dataset for my final year project. Can you please guide what should be image size and how to create dataset? my dataset contains different types of invoices
Hello, do you still provide assistance for labelling custom dataset? I would like some guide on how to annotate on roboflow and export that annotated dataset to train my yolov7 model, but I am getting errors I hope you respond :( thank you
@@Roboflow hi! thanks so much for replying, really appreciate it, but may I ask if I could use my system graphics card while doing it on google colab, and if incase I would like to do commands on my windows11 cmd prompt, would the command be the same. I have been able to train and detect on the cmd prompt but now Im having a hard time trying to figure out how to add more to my already trained yolov7 model..i believe this is what you call freeze? sorry im new to coding and stuff. I would highly appreciate your help. thanks
@@sarahch8878 Unfortunately I don't have an answer to that question. I remember ending up using Yolov4 and finished the project. Maybe something changed, but taking into account your question It seems like it didn't.
@@Arhan3l thank you for your answer, may be I'll try to add some code from yolov3+deepSort, but it not seems to be easy... Did you find yolov4 with deepSort ? thank you
@@sarahch8878 Yes, there should be a video on youtube on the "The AI Guy" channel If I remember correctly. I was also searching some forums and the "Computer Vision" subreddit.
Hello sir, I have followed the same steps you have Given to train the model, but my MAP is decreasing per epoch. Please let me know how to solve this. Thanks in Advance
Can anyone guide me on how can I extract the predicted boundary box image and save that image in a folder? I used the same Yolo v5 custom dataset training strategy.
Hey Nice video! Is there a way to like export the weights and such to use in a custom python project? I already trained a custom dataset, now I need to combine it with my python code that counts cars as they pass by. There seems to be no videos explaining how to use yolov5 other than on google collab
