Thank you everyone for the amazing response to my video. I didn’t check my account for sometime, my apologies. Here’s the link to the project repo and detect.py file : repo:- github.com/MDhamani/Traffic-Sign-Recognition-Using-YOLO P.S. my repo contains the code to train the model. For inference you’ll need to clone YOLOv5 repo by ultralytics, and replace the detect.py file with the one in my repo. I’ll attach the links in the description as well.
Hello, I tried to run your code but when I write 'conda activate tnsor' to terminal it says 'conda: command not found' I use pip. Could that be my problem?
Hey man i use pip too and i also had difficulties with same error i tried the code without conda environment and works with pip you just have to install some packages
Hi can you give a detailed explaination of how to start this project,in which environment to run this and what is the step by step process to run this project.I tried it but I'm unable to run this .Can you please reply as early as possible,since I have to submit this project ASAP.
models.experimental import attempt_load from utils.datasets import LoadStreams, LoadImages from utils.general import check_img_size, check_requirements, check_imshow, non_max_suppression, apply_classifier, \ scale_coords, xyxy2xywh, strip_optimizer, set_logging, increment_path, save_one_box from utils.plots import plot_one_box from utils.torch_utils w Where is this file?
The link to my weights file is in my repo. It’s at the end of the repo. It’s called best_93.pt and is uploaded on mega. I’ve shown the link in the video.
Definitely. You’ll need to clone ultralytics/yolov5 repo, download the model from my github repo, replace the detect.py file in ultralytics/yolov5 with the one in my repo and you’ll be good to go. Let me know if you’re still stuck.
Definitely. You’ll need to clone ultralytics/yolov5 repo, download the model from my github repo, replace the detect.py file in ultralytics/yolov5 with the one in my repo and you’ll be good to go. Let me know if you’re still stuck.
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Thank you everyone for the amazing response to my video. I didn’t check my account for sometime, my apologies. Here’s the link to the project repo and detect.py file :
repo:- github.com/MDhamani/Traffic-Sign-Recognition-Using-YOLO
P.S. my repo contains the code to train the model. For inference you’ll need to clone YOLOv5 repo by ultralytics, and replace the detect.py file with the one in my repo.
I’ll attach the links in the description as well.
Sorry bro the link to detect.py is not working 🥺🥺
@@omprakashsahoo8739 I've uploaded the detect.py file to the repo.
Bro, can you upload the .yml file too please🥺🙏
Hello sir,
I had some questions regarding the project
can you specify the path for the weight file and also path for the dataset file
thank you
Great job
Thank you!
Plz upload a video on how to run this project from start to end
please upload a vedio on how to run this project from start
Could you please upload a video to show how to run this from start to end🙏🙏
Hi can u help us with installation of this project plz..
where is the model?
How to run the project
Hello,
I tried to run your code but when I write 'conda activate tnsor' to terminal it says 'conda: command not found'
I use pip. Could that be my problem?
Hey man
i use pip too and i also had difficulties with same error
i tried the code without conda environment and works with pip
you just have to install some packages
How can we do it using CNN
Bro how to download and run this code
can you provide the dataset link
Hi can you give a detailed explaination of how to start this project,in which environment to run this and what is the step by step process to run this project.I tried it but I'm unable to run this .Can you please reply as early as possible,since I have to submit this project ASAP.
hey bro i too have to finish a project did u find the answer??
Bro if you find tell me also
Bro I'm able to run this and it detects 8 signs
@@user-qj5uj5rg2d hey ,where did you run the project
models.experimental import attempt_load
from utils.datasets import LoadStreams, LoadImages
from utils.general import check_img_size, check_requirements, check_imshow, non_max_suppression, apply_classifier, \
scale_coords, xyxy2xywh, strip_optimizer, set_logging, increment_path, save_one_box
from utils.plots import plot_one_box
from utils.torch_utils w
Where is this file?
Use the new detect.py file in my repo. It should work.
Hi manav. How can I add the voice alert system for this after recognition of sign.
You’ll need to make changes in detect.py file. Like when a certain sign is detected, a specific sound should be played.
Hey, @Prem sai are u able to add voice alert? If yes,plz tell me how to do that
Sorry bro don't know
@@dance_j hey bro are u able to add voice alert ?
@@vishaks.s3640 no
Hi Manav how can I measure distance from camera after detecting traffic sign.
For my project, I was using an ultrasonic sensor (HC-SR04).
Can you please help me in running this project
Yeah sure. Let me know the details.
Where is your weigths file?
The link to my weights file is in my repo. It’s at the end of the repo. It’s called best_93.pt and is uploaded on mega. I’ve shown the link in the video.
i'm trying to run detect.py i'm getting error
I have just updated the code. Can you give it another go?
help me to run this project sir
Definitely. You’ll need to clone ultralytics/yolov5 repo, download the model from my github repo, replace the detect.py file in ultralytics/yolov5 with the one in my repo and you’ll be good to go.
Let me know if you’re still stuck.
Hi Manav
Yo! What’s up?
Pls send me code link
Link to the repo is in pinned comment and in the description of the video.
Hi, I tried to run your code as it is, but google.colab import statement doesn't work, please help
That’ll only work on google colab and not on your local machine. It’s used to get data from google drive.
Can you please help me in running this project
Definitely. You’ll need to clone ultralytics/yolov5 repo, download the model from my github repo, replace the detect.py file in ultralytics/yolov5 with the one in my repo and you’ll be good to go.
Let me know if you’re still stuck.
@@ManavDhamaniCan you make an implementation of this code from start.