Hi, first thank a lot fore your explanation. I just want to know for the raspberry pi does it make a difference in performance if I use 2, 4, or 8 GB RAM?
nice video BTW can we also use a raspberry pi 3 model B+ for the custom object detection ? and can you also record a video for this as well by using the raspberri pi? Thanks
thx for the video, can you use the sci camera with this 64bit version system? i have found many solutions, but no one is useful. I guess that's the reason why you use the usb web camera?
We can't install torch, it gives the following error.. Do you have any idea on how to solve this? Thanks! Could not find a version that satisfies the requirement torch>=1.0.0 (from thop) (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
I already have a tutorial about it here, ua-cam.com/video/weHvI6j4OT8/v-deo.html pytorch installation tutorial for raspberry pi. Please subscribe the channel :)
Hey amazing tutorial, can you help me out on how to provide audio output for the detected objects? which code to edit and how to edit? Thanks in advance!
i need help! i keep getting this even running on python 3.7.3 on my rpi. File "detect.py", line 73 stride, names = 64, [f'class{i}' for i in range(1000)] # assign defaults ^ SyntaxError: invalid syntax
I think you should check on detect.py line 73 and see if there is invalid syntax literally... cause I think there should not be a comma, there should be a ; or a newline... like "stride, names = 64; [f'class{i}' for i in range(1000)] # assign defaults"
train on colab, then download the weights best.pt. also download yolov5 repo. then use this to load the yolov5 repo locally and the weights torch.hub.load( YOLO_DIR, 'custom', path=WEIGHTS_DIR, source='local', device = 'cpu', force_reload=True )
Excellent ! I have just three questions; 1. can it handle realtime 1080p h264 video stream or atleast 720 h264 video stream ? 2. What is the maximum frame rate achievable with Pi4B 4GB as it is ? 3. what is the cheapest solution to get framerate atleast 25pfs ?
hi, I tried to install the yolov5 but at the step "python3 detect.py --source data / images --weights yolov5s.pt --conf 0.25" my ssh disconnects at fusing layers ... how to solve this please
When you connect raspberry pi using ssh, it doesn't have a display, so, it crash when you run the program. Try to connect to your pi device using remote desktop, and then run the program from remote desktop then it should work. I have a tutorial for that here: ua-cam.com/video/RvPNc_3abYs/v-deo.html
@@DeepLearning004 I think the raspberry is restarting because everything disconnects the ssh, the remote desktop(vncviewver), without error. But I am testing xrdp and it gives me errors "...... magic_number = pickle_module.load (f, * * pickle_load_args) EOFError: Ran out of input "
Hi, im stuck in the installation process for pandas, this happened with opencv as well. Can you help? Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas) (1.12.0) Building wheels for collected packages: numpy Building wheel for numpy (pyproject.toml) ... -
i will make a tutorial video about how to get audio output from yolov5 object detection in few days. Please support my channel at www.buymeacoffee.com/biplob004
@@DeepLearning004 That's great. Can you check if I'm added to your supporter list? I don't want to sound impolite however I need to learn it for my school work and present it really soon. How long would it take for the video? and can you tell me how can we add our own dataset to the existing coco classes? like if i want to add classes for currency as well?
Just run the run.py file and it will start working if all required python libraries are installed. Else see error message and download required python module/library.
FPS changes with image size, and model you choose to predict. i guess using 360p resolution, it was taking 1.2 sec to process one image on yolov5s.pt model
@@vishalsinha8614 try to overclock your rasp4, you will need a fan for the cpu and make it detect every 3 frames instead of every frame like the default way. by this, i have archived 5fps on rasp4
Everything's going well, but when you predict it with a webcam, Raspberry Pie doesn't show the video in real time and just finishes detecting it. Is there a solution?
Greetings from Turkey! I am a member and mentor of my FRC team "Conquera". We are using yolov5n on rasbery pi 4 8gb with 208 img size which provide 7 fps. But we need more. Can you help?
main reason would be because the webcam you are using does not have h.264 encoding so its computationally heavy on the pi. You should use the official raspberry pi 4 camera which uses h.264 encoding and will probably give you a much higher frame rate.
I can detect with image, video smoothly but when use the camera ( source 0), it have a error like this img drive.google.com/file/d/1mSL7vomkHu60cgqiNOU4YAiQp4r0a06U/view?usp=sharing
Thanks, dude it's working. 5x slower than the MobileNet algorithm that I used. Needs some improvements.
Raspberrypi 4B
2GB RAM
Pi camera
armv7l
Hi, first thank a lot fore your explanation. I just want to know for the raspberry pi does it make a difference in performance if I use 2, 4, or 8 GB RAM?
hi, How can we do it with custom data set? It is already a pre-trained, model. Is it possible to use our own dataset?
nice video BTW can we also use a raspberry pi 3 model B+ for the custom object detection ? and can you also record a video for this as well by using the raspberri pi?
Thanks
great work!!
Thanks a lot!
Thank you for the video. How do you pass the UA-cam image through the yolo?
great work! how can we implement this using tiny version, i suppose it would be faster
Did you install the 2.2 version of tension flow?
thx for the video, can you use the sci camera with this 64bit version system? i have found many solutions, but no one is useful. I guess that's the reason why you use the usb web camera?
can we deploy in raspberry pi 3? does it support with pytorch? or any pytorch version? thank you
How can i download yolov5 to raspberry pi 3b+ I couldn't find anywhere. Can you help me about this?
We can't install torch, it gives the following error.. Do you have any idea on how to solve this? Thanks!
Could not find a version that satisfies the requirement torch>=1.0.0 (from thop) (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
I already have a tutorial about it here, ua-cam.com/video/weHvI6j4OT8/v-deo.html
pytorch installation tutorial for raspberry pi.
Please subscribe the channel :)
I am facing problem with installing opencv-python , it sys that object is not iterable , how can i fix it , if would you please
How many Gb for a raspberry pi to run YOLOv5 like in this video?
sir why do i get "Illegal instruction" when i run the file??
I get a "Segmentation Fault" error when I run the inference. Any help?
Is it the same way for the yolov3-tiny?
did you use a movidius stick?
Can I use this on raspberri pi 3 b ?
Hey amazing tutorial, can you help me out on how to provide audio output for the detected objects? which code to edit and how to edit? Thanks in advance!
Did you ever figure it out for the audio output?
Did you figure out the solution for audio output?
i need help! i keep getting this even running on python 3.7.3 on my rpi.
File "detect.py", line 73
stride, names = 64, [f'class{i}' for i in range(1000)] # assign defaults
^
SyntaxError: invalid syntax
I think you should check on detect.py line 73 and see if there is invalid syntax literally... cause I think there should not be a comma, there should be a ; or a newline...
like "stride, names = 64; [f'class{i}' for i in range(1000)] # assign defaults"
Hey in mine, it says no command pip3
pls help
are you using a virtual space to do the arguiments? like in ubuntu with virtual box
no
can i do it in windows?
@@aysebeyzaunal3472 yes you can, you need to install pytorch
@@DeepLearning004 ok thanks
@@DeepLearning004 sir, can i use an arduino leonardo with tensorflow lite? Because in fonction of the object , I have to light the leds.
Does it run in 32 bit bulleyes os??
can i do that using raspberry pi 3?
bro please can you tell me how can i attach custom trained dataset inside to the this projects
train on colab, then download the weights best.pt. also download yolov5 repo. then use this to load the yolov5 repo locally and the weights
torch.hub.load(
YOLO_DIR,
'custom',
path=WEIGHTS_DIR,
source='local',
device = 'cpu',
force_reload=True
)
Excellent ! I have just three questions;
1. can it handle realtime 1080p h264 video stream or atleast 720 h264 video stream ?
2. What is the maximum frame rate achievable with Pi4B 4GB as it is ?
3. what is the cheapest solution to get framerate atleast 25pfs ?
Same Questions, did you get your answers?
Cùng câu hỏi. Mình đang chạy yolo v4 trên pi 4 4gb sử dụng cam 1080p đang fps có 0,6. Bạn thực nghiệm 360 chưa chạy ok ko
I can't install pytorch on raspberry pi 3 B+ ...!
Hey guys, I get a silly question. How can I know the IP of raspberry pi on my laptop?
hi, I tried to install the yolov5 but at the step "python3 detect.py --source data / images --weights yolov5s.pt --conf 0.25" my ssh disconnects at fusing layers ...
how to solve this please
When you connect raspberry pi using ssh, it doesn't have a display, so, it crash when you run the program. Try to connect to your pi device using remote desktop, and then run the program from remote desktop then it should work. I have a tutorial for that here: ua-cam.com/video/RvPNc_3abYs/v-deo.html
@@DeepLearning004 I use vncviewer, but it disconncects
Is there any error message?
Is raspberry pi reboots, or just vnc disconnects?
@@DeepLearning004 I think the raspberry is restarting because everything disconnects the ssh, the remote desktop(vncviewver), without error. But I am testing xrdp and it gives me errors "...... magic_number = pickle_module.load (f, * * pickle_load_args)
EOFError: Ran out of input "
@@konkoboaxel8887 Is raspberry pi connected to internet? when you run the code?
Hi, im stuck in the installation process for pandas, this happened with opencv as well. Can you help?
Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas) (1.12.0)
Building wheels for collected packages: numpy
Building wheel for numpy (pyproject.toml) ... -
Can you give me link your raspberry OS you using???
Good.
Thanks
@@DeepLearning004 !pip install -U -r requirements.txt
Nice Video , How to use edgeTPU USB from google product? sir
How can i use it by webcam? Thanks sir
any suggestion to increase fps...? its too slow even with tiny weight
model quantization
Dynamic range quantization 4x smaller, 2x-3x speedup CPU
Full integer quantization 4x smaller, 3x+ speedup CPU, Edge TPU, Microcontrollers
Float16 quantization 2x smaller, GPU acceleration CPU, GPU
i got this error : No module name Ultralytics
but in your video, you not install Ultralytics Module. How your code still works properly
late reply but just pip3 install ultralytics
cool and greate
Thanks
I want to do this on my raspberry pi 3b and give an audio output for objects for blind people. Can you help me?
i will make a tutorial video about how to get audio output from yolov5 object detection in few days. Please support my channel at www.buymeacoffee.com/biplob004
@@DeepLearning004 That's great. Can you check if I'm added to your supporter list?
I don't want to sound impolite however I need to learn it for my school work and present it really soon. How long would it take for the video? and can you tell me how can we add our own dataset to the existing coco classes? like if i want to add classes for currency as well?
@@kashishnaqvi4708 Hello, here is code that output audio : drive.google.com/file/d/1p2Hrs7tEOBZG2n-uQ8LuaY4lZc3fJX-w/view?usp=sharing
Just run the run.py file and it will start working if all required python libraries are installed. Else see error message and download required python module/library.
I have code update, with little more code, let me know, if you need it.
Great video! What was the FPS for real time detection on the Raspberry Pi?
FPS changes with image size, and model you choose to predict. i guess using 360p resolution, it was taking 1.2 sec to process one image on yolov5s.pt model
Were you able to try peripherals to improve the FPS by any chance? Something like Coral accelerator?
@@vishalsinha8614 try to overclock your rasp4, you will need a fan for the cpu and make it detect every 3 frames instead of every frame like the default way. by this, i have archived 5fps on rasp4
@@ngocluu8366 so what is your over_voltage and arm_freq in config file?
Everything's going well, but when you predict it with a webcam, Raspberry Pie doesn't show the video in real time and just finishes detecting it. Is there a solution?
instead of doing --source data/images
do it like --source 0
@@DeepLearning004 Thank you for your prompt reply!!!
I know as you replied, but only this result comes out.
@@user-xp2fo8ft2u Is it fixed the problem?
@@DeepLearning004 drive.google.com/file/d/12K38FEvhnE5FnUYfKlG0aTWKNldRfmNe/view?usp=sharing
@@DeepLearning004 It's the same situation as the picture.
raspberry pi 4 4 gb ram or 8 gb ?
Bro its asking username, password why its asking in terminal
It is too (extremely) slow on R-pi 4.
Greetings from Turkey! I am a member and mentor of my FRC team "Conquera". We are using yolov5n on rasbery pi 4 8gb with 208 img size which provide 7 fps. But we need more. Can you help?
u can use jetson nano to speed up.
main reason would be because the webcam you are using does not have h.264 encoding so its computationally heavy on the pi. You should use the official raspberry pi 4 camera which uses h.264 encoding and will probably give you a much higher frame rate.
else use tensorflow lite
why is so slow??
I can detect with image, video smoothly but when use the camera ( source 0), it have a error like this img drive.google.com/file/d/1mSL7vomkHu60cgqiNOU4YAiQp4r0a06U/view?usp=sharing