![Karol Majek](/img/default-banner.jpg)
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Karol Majek
Poland
Registrace 7. 06. 2012
Karol Majek
karolmajek.pl
karolmajek.pl
YOLOPv2
code:
github.com/CAIC-AD/YOLOPv2/blob/main/demo.py
384x640
0.016s per frame (Windows 11, RTX2070 laptop)
Download my 4k video test sequence: archive.org/details/0002201705192
github.com/CAIC-AD/YOLOPv2/blob/main/demo.py
384x640
0.016s per frame (Windows 11, RTX2070 laptop)
Download my 4k video test sequence: archive.org/details/0002201705192
zhlédnutí: 1 410
Video
YOLOv7 e6 1280px
zhlédnutí 561Před rokem
Source code: github.com/WongKinYiu/yolov7 Download my 4k video test sequence: archive.org/details/0002201705192
YOLOv7 d6 1280px
zhlédnutí 436Před rokem
Source code: github.com/WongKinYiu/yolov7 Download my 4k video test sequence: archive.org/details/0002201705192
YOLOv7 e6e 1280px
zhlédnutí 562Před rokem
Source code: github.com/WongKinYiu/yolov7 Download my 4k video test sequence: archive.org/details/0002201705192
YOLOv7 640px
zhlédnutí 649Před rokem
Source code: github.com/WongKinYiu/yolov7 Download my 4k video test sequence: archive.org/details/0002201705192
YOLOv7 w6 1280px
zhlédnutí 611Před rokem
Source code: github.com/WongKinYiu/yolov7 Download my 4k video test sequence: archive.org/details/0002201705192
YOLOv7 640px
zhlédnutí 1,1KPřed rokem
Source code: github.com/WongKinYiu/yolov7 Download my 4k video test sequence: archive.org/details/0002201705192
SegFormer B5 1024px @ 1024px inference
zhlédnutí 803Před 2 lety
Code: github.com/sithu31296/semantic-segmentation model from original repo This one was trained with 1024px input res, and here is used @ 1024px Download my 4k video test sequence: archive.org/details/0002201705192
SegFormer B5 1024px @ 2048px inference
zhlédnutí 626Před 2 lety
Code: github.com/sithu31296/semantic-segmentation model from original repo This one was trained with 1024px input res, and here is used @ 2048px Download my 4k video test sequence: archive.org/details/0002201705192
Street signs, manholes, vents, air conditioners detection
zhlédnutí 495Před 2 lety
Download my 4k video test sequence: archive.org/details/0002201705192
OpenVINO SSD MobileNet V2
zhlédnutí 1,2KPřed 2 lety
This particular nb: github.com/karolmajek/openvino_notebooks/blob/main/notebooks/401-object-detection-webcam/401-object-detection.ipynb Download my 4k video test sequence: archive.org/details/0002201705192
OpenVINO SSDLite Mobilenet V2
zhlédnutí 547Před 2 lety
This particular nb: github.com/karolmajek/openvino_notebooks/blob/main/notebooks/401-object-detection-webcam/401-object-detection.ipynb Download my 4k video test sequence: archive.org/details/0002201705192
YOLOR P6 2048x1152
zhlédnutí 715Před 2 lety
Source: github.com/WongKinYiu/yolor/tree/paper P6 is on branch paper Download my 4k video test sequence: archive.org/details/0002201705192
YOLOR E6 2048x1152
zhlédnutí 445Před 2 lety
Source: github.com/WongKinYiu/yolor/tree/paper E6 is on branch paper Download my 4k video test sequence: archive.org/details/0002201705192
YOLOR ssss DWT 2048x1152
zhlédnutí 286Před 2 lety
Source: github.com/WongKinYiu/yolor/tree/paper sssss DWT is on branch paper Download my 4k video test sequence: archive.org/details/0002201705192
SETR PUP 768x768 80k Cityscapes batch 8
zhlédnutí 255Před 3 lety
SETR PUP 768x768 80k Cityscapes batch 8
SETR MLA 480x480 80k Pascal Context batch 16
zhlédnutí 236Před 3 lety
SETR MLA 480x480 80k Pascal Context batch 16
WongKinYiu: PyTorch_YOLOv4 - yolov4-pacsp.pt RTX2070
zhlédnutí 433Před 3 lety
WongKinYiu: PyTorch_YOLOv4 - yolov4-pacsp.pt RTX2070
TensorRT YOLOv4x Mish 640 - RTX2070 laptop
zhlédnutí 259Před 3 lety
TensorRT YOLOv4x Mish 640 - RTX2070 laptop
just for validation, How many cars in the video?
Hi, can I also access linear velocity of the camera along the x, y, z axis? If so, which topic can I access them?
What type of dashcam did you use to record it? What type of quality do you need?
Hello friend, I want to read the size of a tire on the sidewall, which you recommend I use. excellent videos, thank you.
I'm reaching out because I'm interested in tracking the number of vehicles and pedestrians. I'm curious if you have a solution that could be applied to other sites as well. Additionally, I'm concerned about privacy and wanted to inquire if any personal data is collected, and if so, whether it can be eliminated from the process. Looking forward to hearing from you.
I'd be interested in talking to you about this for my company. Do you have a workable solution, and is it easily applied on any site?
thank you for this
Thank you very much, your explanations were clear and I could run it 🎉
Is there a way to identify vehicle make, model and color?
How can you use your own dataset to train the ESPNet model?
你好
Haar cascade object detection 14-AUG-2023 czcams.com/video/raRTB_jqzMw/video.html
Greetings. Can I have such a video that runss for 24 hours or more? Thank you.
what is see in the sky in the min 6? from right to left
thank you
I am trying to mount them in bipedal robot Cassie (czcams.com/video/a_YGPbWJO5g/video.html) but since the motion is too jerky, the camera is losing its tracking. Do you recommend any method that can help stabilization?
Hello, I will use the intel d435i camera lens to make a special topic. I have encountered some problems. Can I ask you for advice?
Vim pelo chat gpt ele mandou um link 😅
Has anyone tried to use this video for number plate detection? Is it available?
I don't think this video is very useful for number plate detection. however, I have made a traffic control management system by using similar type of video.
thanks you. Any idea about height of the cam and angle between horizantal?
So you can get OpenVSLAM working but you can't use screen-recording software?🤣
Hello Karol, thanks for this video. Is it possible to apply it to a live video? Like a camera? On a Raspberry Pi 4? Dumb question maybe. Thanks !
My friend that's so interesting. Thanks !
I am trying to run yolov5 model for vehicle Classification on jetson nano 2gb ram but it is not done . It requires the NUMBA JIT python library to install but I tried many times but it was not installed. Help me
Hi, do you know any good description of FCOS except the paper itself ? (I'm reading it now, and it's quite good)
Hi! What camera did you use to record this video?
It was long time ago. I think it was Samsung S7
Impressive! Excellent job. But how far are computer vision with AI from human intelligence? At time 0.38 in the video there is a mirrored car in shop's window and the program mark as a car. May in the future AI need a real 3d computer vision (with depth). How will calculate all this 3d vision in real time and how much computer power is need for 3d model learning? Maybe quantium computing is a right key.
What is the "VOC" sample?
I want to run Your Lanenet, but can't do import Lanenet.
That's not mine code. Did you installed it? Are you in proper directory?
*Top!*
What kind of 360 camera did you use?
what is the mask?
how precisely accurate computers have become, we're in a real trouble now
what about the speed?
If you only read the description.
would you please make a simple method to coding tracking with yolov3 tiny
Where are the 3D BB
In v2? This is the official demo
@@KarolMajek was just kidding.
Re-upload?..
the whole image is transformed into 640px X 640px??
Nice! 😃
the streetlights being detected as umrellas, airplanes and kites were funny
Are you using NMS or other method with yolo?
and this is a stateless classifier? no frame to frame memory
it's getting pretty solid. although stop sign detection is pretty loose. how many params?
the prohibition signs in poland (and other EU) having a red outline is maybe throwing it off
Out of distribution (only stop sign in the dataset)
You are amazing!
Hello very nice channel. I have a question... How did you make cars and people have the same color? I have read all the documentation, and it seems that modifications must be made in visualizer.py I hope you can share your experience with me. THANK YOU
Looks quite robust on vehicles, particularly for the size. How many parameters does it have? hard to find anywhere. They should always state model size. It's quite impressive for how many categories it can detect at such size and speed although it failed quite hard on a stop sign. I assume it runs on monochrome? no color data.
This is amazing! If I were to try to make an ios app that utilizes this image classification, where would I begin?
There's also a yolovn :) Also, i like the stability of traffic lights.