It's really a good video explaining deep sort algorithm , but I can't take my eyes of your tom & jerry shirt 😂😂
@none-hr6zhАй бұрын
cosine similarity is taken between detected object passing through ccn that feature vector with previous frames detected??
@merumorya1792Ай бұрын
how to run the program
@merumorya1792Ай бұрын
can you please show the steps
@kbkhalsabro34232 ай бұрын
Bro when you will upload next video?? 😢
@underlecht2 ай бұрын
it's just not working. at each of your videos there are lots of cars that are not detected. if they are detected, some are later lost. Tracking with occlusion is also evidently not working
@aleixgadner95532 ай бұрын
Como se llama la aplicación
@bahaeddinehemmemCHAREN3 ай бұрын
Khouya l hendi lizoum
@ARkhan-xw8ud3 ай бұрын
triplet loss is also used for the same
@granatapfel66613 ай бұрын
Can you help with the bev data of the dataset?
@sorenadashti43333 ай бұрын
how can I record for dataset
@chaosNinja7904 ай бұрын
Thank you very much. You really helped me. Godsend
@SatheeshS-v3b4 ай бұрын
Really helpful sir. Do you have any idea about these same trajectories using MATLAB?
@SatheeshS-v3b4 ай бұрын
Mind blowing Work!
@boukermouchemohammed87294 ай бұрын
Thanks
@The_biggest_G.O.A.T5 ай бұрын
Sir I am making a facial recognize attendance system using Siamese network the capture image's train successfully but when I want to track image it's not recognize the registered person can you please help me with this I'll pay charge's too but please don't ignore my comment I'm in trouble since 2 day's
@MobinaAmrollahi-k7j5 ай бұрын
You're videos are truly gems! Having the codes in front of you and explaining them line by line, no course will do this!
@counterside95765 ай бұрын
Plz help me there is some problem in the root directory to the dataset
@AnmolKumar-so8lh5 ай бұрын
One of the best 👍🏿
@karthickkuduva98196 ай бұрын
Multitask learning and Vision transformer are same ?
@user-hi2hb2ny2p7 ай бұрын
Good explanation, thanks, upvoted
@nayanrajannavar7 ай бұрын
WHAT IS THE INPUT WE SHOULD WE GIVE TO IT TO RUN THE CODE
@nimetullaherensarioglualum68437 ай бұрын
Great video man, keep up the good work
@MuhammadUsman-t4z8 ай бұрын
Absolutely Amazing
@abrahamyalley99738 ай бұрын
how do i combine this with a global path planning algorithm like a star for obstacle avoidance
@abrahamyalley99738 ай бұрын
how do i set the astar algorithm as my global path planning algorithm
@SparshGarg-n8e8 ай бұрын
Awesome, thanks!
@a.t108 ай бұрын
it is a very useful content. thank you everything.
@edupedika9 ай бұрын
isit possible to combine astar and rrt for mobile robots to build an hybrid
@edupedika9 ай бұрын
Not reaching the goal ?
@shalinikumari18119 ай бұрын
thankyouu
@theboss731049 ай бұрын
Bruh how to track a recognised person? With his name
@PIYUSHTAILORstillalive10 ай бұрын
I was thinking to make robotics channel and then this guy with already 78 videos. Are you looking for collaboration?
@kordou11 ай бұрын
thank you for this nice course. is there any way to get an efficiency on the test data as a value also in the jupyter notebook ?
@jumanaal-qarei866711 ай бұрын
should I copy the code and paste it in order in one py file? or what please clarify
@aasheesh600111 ай бұрын
Thanks bro for this.
@luuminhquan8255 Жыл бұрын
Unable to download the weights. Can you pls help.
@pocopoco3468 Жыл бұрын
I'm trying to make a LFR(Line follower robot) till now I have made it to run on Balck and white line, all complex and simple turns, line discontinue etc. But I'm facing problem in loops, how to make a LFR to detect loop?
@sabzimatic Жыл бұрын
kzbin.info/www/bejne/nmbZe52NfKinqas So the graph at above time in the video is showing continuous joint angles along with r,p,y. Can there be an instance in time (0 to 1 second) in the above graph where that particular set of joint angles (and r,p,y) are not feasible, meaning a singularity condition appears ? in between good effort on the topic and videos.
@UT_BHUTAN Жыл бұрын
can i use a pretained model and make an application where i will allow students to register their face and once they are done, they can login to the app and start verifying their face. I want the app to work in way whereby i need not have to take time to collect facial data of every students in the class. I want the data collection to be done while registration of the student to the app.
@vikasp-j1x Жыл бұрын
Brother can you suggest me any resources for doing the same , i wanna to implement my path planning in ros like you did , but i don't know how to start . I know the algorithm and implemented it in cpp without ros but i don't know to integrate like you did can you help me brother
@vikasp-j1x Жыл бұрын
i want some resources to refer
@aminullah2666 Жыл бұрын
How the Truncation is calculated during annotation, is it based on visible pixel or it is from actual 3D box?
@man9mj Жыл бұрын
Excellent effort, thanks for sharing.
@SonyaKrot Жыл бұрын
Tell me, I did everything as you said, but the following error is displayed, I haven’t been able to solve it for a long time, what can I do? :/opt/ros/noetic/share/MLinROS/car_ws/src/perception/scripts$ python 3 line_follower.ру Traceback (most recent call last): File "lane_follower.py", line 5, in <module> from prius_msgs.msg import Control Module Not Found Error: No module named 'prius msgs'
@muhammadtehreem4146 Жыл бұрын
pp_msgs is not present at lerp_motion_planner
@ashraykhosin4162 Жыл бұрын
model_history = model.fit(dataset['train'].repeat(), epochs=EPOCHS, steps_per_epoch=STEPS_PER_EPOCH, validation_data = dataset["val"], validation_steps=STEPS_PER_EPOCH// 10, callbacks = callbacks) ValueError: Unexpected value for `steps_per_epoch`. Received value is 0. Please check the docstring for `model.fit()` for supported values.
@eskysudip Жыл бұрын
I have a environment with multiple continuous action what should I do.
@Sid-proxi Жыл бұрын
how can i use it for ROS2?
@sarthaksinha6588 Жыл бұрын
bhai isme error bhut ha
@jimj2683 Жыл бұрын
Why has nobody collected data from the real world? You could attach a pole with a downward-facing camera on top of a bunch of teslas and drive around collecting data. Then you have all the ground truth you need for making 360 parking cameras much better.