whats the matter of posting video like this with out source code??????????

sorry, is datasetninja website broken?

Just a general comment, this video is only for users in windows and exclusively in python. There will need some slight modifications for Mac and ipynb

Is it possible using other Camera for Object Detection in the same work area? The purpose is to give different prespective and more accurate detection?

Hey , I only see files for highway. Are there files for los angeles to follow along ?

I commented so I could comment to comment so some other comment could like

Your videos are awesome man! I would love to see how you go through the steps of using a YOLO model and train it woth your own data. Cheers!

source code for this?

Love it

can you make a program to measure the length and height of waves that form a sinusoid in the application of a water wave measuring instrument using a camera so the camera will be placed next to a glass pool with wavy water

thanks for teaching!It's quite useful for my study!

hey i clicked the link, it got subscribed. what next where is the code, or how to download it?

wait are these the so-called "OCTAVES"?

Very nice one Do u have the code somewhere for free brother?

That's why sd 3.5 would eventually win out because people would finetune it, and it's license it much simpler

you are a monster bro :D

You are the best

Omg i love it 🎉 thank u so much❤

Can you share the link to the source code?

I am no fan of youtube anymore. Anyway I much prefer a PDF to a Video and it costs €39/Month. no thanks.

thank u so much, this video very helpful for me. The code may be old(overdate ??? ) but the logic is unchanged, combine with chat GPT finnaly i can run the code <3

Hi Sergio, are you teaching how to optimize models for hardwares (jetson, rasperry..) in your academy ?

Atleast one should have clear the doubts on the chat. Everyone is asking for simplefacerec issue yet he didn't responded to a single person. I dislike this video just bcz of this half information.

how to overcome "RuntimeError: Unsupported image type, must be 8bit gray or RGB image" , even though I have downloaded the file you shared😔

Does it really affect the end result? Like will the model really get affected?

Bro can i use OpenCV with c# !???

like ur videos, & yes let's do 1 video for object detection tracking and prediction ❤

Hello, how are you? Congratulations on the videos, I would like to know if you will teach how to do the image training from the beginning, I would like to thank you in advance. Please teach from the beginning to the end, thank you in advance for a hug from BRAZIL.

good one. Not seen someone printing features in other videos.

Cool content!

can u do a whole project?? like a whole outline. not a complex project but yes it will be very appreciated if u could 😁

I like your videos so much. I wish a video from you to show a Project, how can we train a model with little thing like table tennis balls. They are little and move fast. Which technics is the best for this kind of types?

How much power do they consume at peak performance?

Good afternoon, i realise this is a rather old video but i was wondering if you could give some insight into what would be best for me I'm working on a turret that does real time aingle object tracking with the lowest possible latency, currently im not in need of a gpu as i use a 7840hs apu and a highly modified mosse tracker, but i want to use some gpu acceleration for things like encoding, initial detection, etc in the future. Considering that i dont have a particularly high need for gpu performance etc, would it be advisable to get an amd counterpart due to the lower price or spend more on the nvidia card ourely for the support? I know rocm is getting good, but i also know its not close to cuda yet either. Thanks

Is this example included in you course?

where the link for source code.

Thank you!⭐

encoding_1 = face_recognition.face_encodings(image_2)[0] I have error on this line: Traceback (most recent call last): File "e:\Face_Recognition\main.py", line 463, in <module> encoding_1 = face_recognition.face_encodings(image_2)[0] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Face_Recognition\venv\Lib\site-packages\face_recognition\api.py", line 213, in face_encodings raw_landmarks = _raw_face_landmarks(face_image, known_face_locations, model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Face_Recognition\venv\Lib\site-packages\face_recognition\api.py", line 156, in _raw_face_landmarks face_locations = _raw_face_locations(face_image) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Face_Recognition\venv\Lib\site-packages\face_recognition\api.py", line 105, in _raw_face_locations return face_detector(img, number_of_times_to_upsample) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: Unsupported image type, must be 8bit gray or RGB image. Full code: import cv2 import face_recognition import numpy as np known_face_encodings = [] known_face_names = [] image_1 = cv2.imread("images/M.webp") image_2 = cv2.cvtColor(image_1, cv2.COLOR_BGR2RGB) encoding_1 = face_recognition.face_encodings(image_2)[0] known_face_encodings.append(encoding_1) known_face_names.append("Person 1") What I need to do, in each attempt I get this error.

My mom have a charcot disease this can change is routine thanks you so much I love you guys !!!

Where can I find the dataset related to this video for example : predictor 68 face landmarks

I would like to use something like this in my furniture production. Great channel

You did not explain how to use a Webcam for this use-case lol

Hello, how are you, I see that you have an interface for segmentation and a kind of trainer, do you have any tutorial on how to implement it from scratch? or some documentation. Thanks for the contribution

Bro, your video was incredibly helpful! It saved me so much time figuring out the laptop specs I need to request from my company. Thanks for making it clear and giving me solid reasons for the choice!

RuntimeError: Unsupported image type, must be 8bit gray or RGB image.

Do you have any suggestions or ways? How to detect people using detection & tracking model, where the person has a different id for each person but, The case that I experienced is how the model can read a consistent id, that there is one person who is the same and his id does not change even though he exits / enters the camera detection & my model can recognize the same person with the same id

Great explanation of object detection but I would like to clarify a question. I am trying to build an ai desktop assistant that uses openai api. And I want it to take a picture when I say a certain command and I want the ai to be able to search for what I asked and give me information. For example if I ask it take a picture and tell me what is my shirt colour or what am I holding, is it possible to make it detect only my shirt colour or what I am holding and tell me. I would really appreciate it if you could guide me in this project. Thank you. Once again very detailed video

full video: kzbin.info/www/bejne/noe1q2Vvg8Stpsk

what is the 8 way bruh, you just said you use yolov8 model, that model is very slow on cpu