thanks god, someone did a tutorial without using google collab Ty so much

Pls provide video based on custom dataset and then train the model and integrate it in opencv to test

Hihi, not sure why but my outputs are no longer saving, it creates a new folder in the runs folder but doesn''t save any ooutpout to it, is there a way to manually save / is there somewehre that explains all of the tags like --save-conf

After installing the cuda while checking it with torch.cuda.is_available() I am getting false as an output but while checking the version I can see the updated version then why it shows false as an output

Ye wala pre-trained algorithm model use karke Kiya hai na ?Ya model train karke Kiya hai Plz anyone reply

THES BEST VIDEO!!!

How do I change jacket to safety vest and change hat to hard hat?

why does test dataset need json file? cant i use some random images without annotations? if test data also needs annotations, then what is the point of doing all this?

is this will work for face recognition instead identification?

Is there any new video for installing dependencies for pytorch, torchvision, torchaudio installation. I get errors while running the same commands as mentioned in the videos.

Without GPU can i do the whole thing with 10-20 images?

Any way for early stopping?

Dear sir I was finally able to integrate an ip camera with this and it's working fine. Thank you for the tutorial. Can you tell me if I need to make a simple ui for this with a button to start running the detect command how can that be done

how can we fine tune SSD model for custom object detection which can run on CPU faster .

Damm man! Nice video, I'm finally starting object detection

How to create that empty script ?? plz anyone tell

hi, how to make this without command prompt, can we make this with VS code or Jupiter notebook

Thank you so much! After spending many hours searching online, this video was exactly what I needed for understanding YOLOV8. Finally it made my conclusions. Hats off to you! ❤️

Hey mate, is it possible to train if you got amd graphics card?

Hello, I did it without any er rors until the cmake compilation process, but after doing the ALLBUILD build in visual studio, it gives me an error. Can you help me?

mine took 5.1 sec to generate 🤔🤔

How to get the dimensions of the bounding box

Does it possible to work in ESP32-CAM module?

helping others out. don't use the console command he gives. (if it's not populating the install folder) instead do this in the build folder (assuming the install folder should be in the build folder) cmake --build . --config Release cmake --install . --config Release

Helped me a lot thank you👍🏻

Sir , i need to extract the instance mask can you pls suggest something, it would be a great help?

How I can use my 8gb GPU if I have AMD radeon rx580 on Windows 10? Please answer asap i will very appreciate it

how do i change the model in this'

concise

3:06 I was testing my GPU device. When I typed tf.test.is_gpu_available(), it returned False afterwards, meaning my PC does not detect any GPU device at this moment. What should I do?

Hi 7:29 I have python3 and Release but it folder is empty what should i do now

How to get a button in labelimg "Yolo" ?

I have a problem, please help me "Traceback (most recent call last): File "save_model.py", line 4, in <module> from core.yolov4 import YOLO, decode, filter_boxes File "C:\Users\VyNguyenHung\tensorflow-yolov4-tflite\core\yolov4.py", line 6, in <module> import core.utils as utils File "C:\Users\VyNguyenHung\tensorflow-yolov4-tflite\core\utils.py", line 1, in <module> import cv2 ImportError: DLL load failed: The specified module could not be found."

You are brilliant, I have a question , how can I deploy this model on local machine as web app to be used from users?

source code? please

can yolo use for image classification and optimezer using adam,sgd,rmsprop?? my dataset is rice so i want yolo to detect it like it's basmathi rice or regular rice

hello brother. training takes too long because I use too much data. is there a code or key combination to pause it for a while and continue later?

Hello. When start yolo task=segment mode=train epochs=15 data=dataset.yaml model=yolov8m-seg.pt imgsz=640 batch=1 part, I have this problem Closing dataloader mosaic Traceback (most recent call last): File "<string>", line 1, in <module> File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\multiprocessing\spawn.py", line 126, in _main self = reduction.pickle.load(from_parent) File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\site-packages\torch\__init__.py", line 1537, in <module> from .functional import * # noqa: F403 File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\site-packages\torch\functional.py", line 9, in <module> import torch.nn.functional as F File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\site-packages\torch n\__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\site-packages\torch n\modules\__init__.py", line 2, in <module> from .linear import Identity, Linear, Bilinear, LazyLinear File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\site-packages\torch n\modules\linear.py", line 7, in <module> from .. import functional as F File "C:\Users\Rajaboff\anaconda3\envs\yolov8_segmentation\lib\site-packages\torch n\functional.py", line 16, in <module> from torch._torch_docs import reproducibility_notes, tf32_notes, sparse_support_notes File "<frozen importlib._bootstrap>", line 1027, in _find_and_load File "<frozen importlib._bootstrap>", line 1006, in _find_and_load_unlocked File "<frozen importlib._bootstrap>", line 688, in _load_unlocked File "<frozen importlib._bootstrap_external>", line 879, in exec_module File "<frozen importlib._bootstrap_external>", line 1012, in get_code File "<frozen importlib._bootstrap_external>", line 672, in _compile_bytecode MemoryError

Can I do this in YOLO V7?

Thank you a lot for that video, but i want to know if o have an other object that i wanna detect like fruits how can i use this model to detect it?

why is my FPS so slow is this an issue of my cpu ?

is there a list somehwere of all the flags and options? TYSM this video was amazing

I have one issue. The bounding boxes somewhat appear multiple times in literally many certain spots, it's like the detection is set to be very sensitive, and I want to suppress it. How can I remove those repetitive boxes? Thank you.

it works with pictures but didn’t work with video i don’t know what to do

Hi, is there a way to change vid source instead from recorded video, i want to direct it on my camera feed

lib folder is not there inside build,🥲 what do I do

hey man thanks, you saved me, i been trying to install this for 3 days and nothing looks to work but with your video i finally got it, thank you so much!!!

i got this error at 13:35 on bboxs = detections['detection_boxes'][0].numpy(): Exception has occurred: TypeError Only integers, slices (`:`), ellipsis (`...`), tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid indices, got 'detection_boxes' can you help me sir?

Thanks a lot for such an explanation ❤️ After running this command python train.py --workers 1 --device 0 --batch-size 8 --epochs 100 --img 640 640 --data data/custom_data.yaml --hyp data/hyp.scratch.custom.yaml --cfg cfg/training/yolov7_custom.yaml --name yolov7-custom --weights yolov7.pt I got this error File "C:\Users\AhmedMahmoud\Python\VS_CODE_WS\yolov7-custom\train.py", line 595, in <module> device = select_device(opt.device, batch_size=opt.batch_size) File "C:\Users\AhmedMahmoud\Python\VS_CODE_WS\yolov7-custom\utils\torch_utils.py", line 71, in select_device assert torch.cuda.is_available(), f'CUDA unavailable, invalid device {device} requested' # check availability AssertionError: CUDA unavailable, invalid device 0 requested Any help ?

At the time of testing it can not detect any picture and video