This is a goldmine of a resource. I have 3+ years experience with image processing in MATLAB. Totally into Python now and enjoying this awesome tutorial.
@@dremr2038 From my experience, Matlab does not offer as much dynamism and flexibility, so I would definitely go with the former. I've used both but once I made the transition to Python, there was no looking back!
I absolutely dread matlab, i cannot even fathom a language that has 1 indexing. Yes matlab sadly has the audacity to call itself a programming language. Pythons mathplotlib literally has 99% of the functionality of matlab whilst being easier to use.
I was just clicking on random videos on YT and I somehow landed on this course and GOD THANK YOU! Learned a lot and lots of things here that I could've learned nowhere better. Thank you for this course, although there were somethings in the last part of this course that I was not able to understand but I got a glimpse of how things are and how they work, I'll definitely learn them.
3:29:55 - `x` (images tensor) and `y` (labels) should have the same length - People who are getting this error, convert the list x_train and y_train to numpy arrays x_train=np.array(x_train) y_train=np.array(y_train)
2:08:26 - actually everything was OK. You don't need to pass masked image to calcHist mask parameter. You can just pass white circle instead, as you did first time. You can compare both histogram plots and make sure, they are identical. It worked because cats-in-a-circle image is identical to white circle in bitwise operations (if those cats have no zero valued pixels in the circle region)
Completed this in two weeks, what an amazing course! For the computer vision part on kaggle, you might have to use your own model, i recommend convolutional layers. The model used by the tutor is out of date and you might encounter roadblocks. Good thing is, every other line of code works well with any model of choice. Really enjoyed this course and i look forward to doing advance stuff from here!
important ones to remember 33:19 five basic methods 1. gaussian blur 2. canny edge detection 3. dilate 4. erode 5.cv.resize ============================================== 45:17 image transformations 1. Translate function 2. rotate function ============================================== 57:55 contours 1. contours list using canny edge detection 2. contours list using blur + canny ed 3. contours list using threshold =============================== 1:12:00 changing color spaces 1. BGR to HSV 2. BGR to GRAY 3. BGR to LAB 4. BGR to RGB AND VICE VERSA ======================================== 1:24:00 extracting colors blue green red ============================================= 1:37:00 Blurring 1. Average blur 2. Gaussian 3. Median 4. Bilateral ============================================ 1:45:35 Bitwise 1. Bitwise and 2.Bitwise or 3. Bitwise xor
Thank you guys for making such quality videos that has helped millions. I've benefited a lot from your previous tutorials and I'm excited to learn opencv as well! Thank you!!
Thank you for the interesting content. The error in the face recognizer is due to 3:04:44 It should be for (x, y, w, h) in face_rects: faces_roi = gray[y:y+h, x:x+w] instead of: for (x, y, w, h) in face_rects: faces_roi = gray[y:y+h, x:x+h]
The best free, very precise, very well explained course on OpenCV. Everything about this course - the pace, code explanation , and the accent (bleu!) was really engaging. Thank you!
Hi Jason, I have been going through many courses for OpenCV (Not that I didn't understand them) but I should say even though the course is fast-paced but well explained and especially Chapter BITWISE operations Awesome!..keep it going very well explained and practically show.
That was a nice course for starting machine learning but please look at (3:38:00) . We're larning to reach a conclusion . So why the model cannot work correctly?
Hey I see your effort. You all are putting so much effort and time in these videos. I think if you make the roadmaps videos like if you want to become a android developer watch this playlist in which you can mention all the videos that are related to the android development. Yes I know that you already had created playlists but they are kinda incomplete and are not roadmaps videos. And one more suggestion make a playlist of roadmaps videos for different learning paths like you had created pytorch and tensorflow tutorials if they both are mentioned in a roadmap video of data scientist and a pdf in description as if anyonnes wants to print and want the learning steps so he/she can download the pdf. I hope you will like my suggestion. Even I follows your tutorials but i didn't know whether the tutorial is for my path or not and then after researching and learning my own I find that you had made the tutorials but I was not able to identify that the tutorial is helpful or not. So if you do this it will save so much time and everyone will know what to do next. Thanks For Reading My Suggestion :)
Absolute lifesaving course! in the span of a few hours I was able to do my own computer vision projects! Sidenote : the cat pictures were a bit too cute and sometimes distracting haha.
Thanks for all your efforts, spent times, and open source-free courses. Indeed, I've started OpenCV through that course, and it's been a superb starting point for me. And there are also different kinds of courses related to Data Science and am gonna benefit from them as well. Am grateful to know a such channel and a such course..
Been needing this video since last christmas! lol Thank you! -- +9999pts for linking up concepts to examples in the video. Something abt the documentation just gets my mind wandering until I've forgotten what it was I was looking for in the first place. ;D
2:41:06 Tutorial is awesome, the explanations are much better than other tutorials I have tried, only ran into one real issue so far and that was during the "Face detection with Haar Cascades". When referencing the xml file, I found out I needed to implement the full path to the file in order to get it working properly, just thought I would throw that out there in case anyone else runs into a similar problem.
Are you talking about how to solve the xml parsing error that happens? because yes i'm suffering from that currently. What do you mean by full path? because my xml file is saved in the same directory as my face detection file
@@chinmayganguly457 I had the same issue. Just look at your explorer tab (it's on the left in VSCode), right click on your xml and then click 'Copy Path' (or 'Copy Relative Path', it also worked for me)
Yeah, same situation, in my case was because I created a file inside "resources" to have more order, so VS Code needed me to give the exact file path to run haar_face.xml. Thanks for the tip
10:34 video running 11:28 error - 215 assertion error 53:59 flipping image 58:34 canny (for edge detection) 59:12 finding contours 1:07:18 drawing contours 2:47:50 best alg for face detection 2:50:58 getting list in new way
great job so far in 1:11 now and love the content also just realized how amazing these image manipulation softwares are amazing EDIT: Into advance section now and the true power of openCV is here awesome and awesome tutorial
This video is really good for learning new things related to computers..🤩🤩🤩🤩🤩💮..good job guys....I learned almost the concepts...and making a project now..
Damn, never felt this confident on anything after just finishing the course. Kudos to you guys for bringing out this gem of a tutorial and channel as well. And all of it FREE OF COST🙏🙏
Hey iam an automated robot created by the RPA Champion to comment on all videos on youtube. I have liked your video. Thumbs up and keep on doing what you doing
1:30:00, I try a little tweak here by using ones() instead of zeros(), then multiple blank by 255, so I can get a white canvas. The results are interesting cause it display sort of CMYK.
"train_gen = datagen.flow(x_train, y_train, batch_size=BATCH_SIZE)" gives a ValueError: "`x` (images tensor) and `y` (labels) should have the same length. Found: x.shape = (80, 80, 1), y.shape = (11047, 10)"
I bought a course to learn OpenCV from this website but it was money wasted. The whole thing was filled with too much theory like what is RGB? What is BGR? How do images work? I lost interest so quickly. I LOVE how you are to the point. Your pacing is also perfect. I have never watched anything with 1.0x speed before. THANK YOU for making this course! This video is priceless.
The tutorial is great. Everything is explained in a great way. The only thing that I felt could be improved is by using some constants instead of just writing them again and again like you did in draw.py. You could've specified constant like STARTING_POINT, ENDING_POINT, COLOR and many more which would've made the code much more readable and could've also reduced the tutorial length. I would be making a pull request for this soon. Thank you for this amazing tutorial :)
Awesome crash course thanks. I too come from a MATLAB background, so I know what to look for. But it's good to see the basics in action to pick it all up with Python/C++ as needed. Thank you, Sir. 👌
Final Review of This Course: Okay, if you want to get a very low level understanding of openCV, then this course will work for you. Its good if you need a refresher or are using it to get an idea of some of the important functions in openCV. HOWEVER, you wont really understand why the functions work or why certain parameters are used. I wish the title of this video was called "Referesher Course for OpenCV". Id recommend paying for a longer course that will go a lot more in depth into what these functions actually do and how they work. Regardless, I still learned something, so thank you.
Thank you ! Wonderful video. I encountered problem when trying to run ' Face Recognition with OpenCV's built-in recognizer' (Face Detection ' works) at the line face_recognizer = cv.face.LBPHFcaeRecognizer_create() Attribute Error: module 'cv2.cv2' has no attribute face Surfing the net, for solution, realized, many people have encountered this problem Any help appreciated
I fixed this error, it took me some time to figure out, many users have been struggling with this error by mistake, I had installed both opencv-python & opencv-contrib-python Even after uninstalling opencv-contrib-python, I was continuing to get the following error --------------------------- Successfully uninstalled opencv-contrib-python-4.5.2.52 python3 faces_train.py Training done --------------- Traceback (most recent call last): File "faces_train.py", line 44, in face_recognizer = cv.face.LBPHFaceRecognizer_create() AttributeError: module 'cv2.cv2' has no attribute 'face' --------------------------- Then it stuck me, it is picking the cv2 from some where else I reconfirmed this with Python shell & pip list ------------------------------ python3 Python 3.7.6 (default, Jan 8 2020, 19:59:22) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> import cv2 >>> cv2.__version__ '4.5.1' pip list | grep opencv opencv-python 4.5.1.48 ---------------------------- Then once I uninstalled, opencv-python and reinstalled opencv-contrib-python, ONLY the error message vanished and face_recognition started working ---------------------------- Successfully uninstalled opencv-python-4.5.1.48 Successfully installed opencv-contrib-python-4.5.2.52 python3 faces_train.py Training done ---------------
a structuring element is the NxN matrix that determines the way dilation is calculated. it is not the image that is being dilated. the dilation operator requires 2 arguments. the original matrix and the structuring element, which is basically the kernel and it has a certain size and shape. usually a disk, cross or a square (binary kernels most of the time)
3:27:20 if you're following along with pycharm from tensorflow.python.keras.utils.np_utils import to_categorical should be used instead of from tensorflow.keras.utils import to_categorical
3:09:05 a 110% "pretty sure there's an error somewhere" .... 3:39:15 "...definitely not the best model that we could've asked for..." this is learning the blind way, nothing replaces reading a good book, more cartesian, more precise.
in arabic we have a proverb, make better or keep silent, I dont judge ur ability to do so but his work is great and I found it amazing , any books for suggestion!!!
Good and entertaining video series. The last video gave me a good lol in the middle of the night here. I think I woke up my neighbors thinking about one of the ”classic quotes from known and unknown programmers”: ”Despite the fact that it doesn´t work - How do you like it?” No affence man.
Hi Jason, Your course is very detailed and oriented towards practical application of concepts taught. Loved it. I have a personal project which could really benefit from your skills. I am not sure if you do freelance work or are interested to have a listen... Please let me know if i can reach you somehow to discuss this further...
I stucked an error at 3:30:00 and i surrendered to resolve. Finally, your Github resume back again together with "Fix Sklearn ImportError" which is inside simpsons.py then i follow the github to import sklearn.model_selection as skm and change x_train, x_val, y_train, y_val = caer.train_val_split(featureSet, labels, val_ratio=.2) to split_data = skm.train_test_split(featureSet, labels, test_size=.2) x_train, x_val, y_train, y_val = (np.array(item) for item in split_data) So far, I don't find error at all. Thanks a lot
How close is this to the technology to the large scale commercial organsations are using such as Facebook, Apple etc? What percentage are the commercial organisations getting when they run their image identification systems?
This is a really good resource, but I want to point out that there's error to how he expained match-confidence, somewhere around the (3:10:33) mark. The confidence value represents the dissimilarity or error between the detected face and the recognized face. What I am trying to say is that a lower confidence value is typically better because it means that the detected face is more similar to the recognized face. Edited: Also, the confidence value is not expressed as a percentage!
Okay, here's the shortcut I found about VS Code: Ctrl + '/' -> Comments out a line Alt + Up/Down Arrow -> To move text up and down And this is personalized: Alt + D -> Duplicates the lines Please share your shortcuts as well.
Hello, really grateful for this course, thank you so much. I am getting this error at 2:42:58- error: (-212:Parsing error) cv::XMLParser::parse in function 'haar_face.xml(1): Valid XML should start with ''' how do i resolve this?
Warning, the Simpsons deep learning part is having some difficulties as decay and learning rate are deprecated in Keras 2.3 above, might need to find a new way to overcome it.
I hope I can learn well with this video. I am now korean high school student, and I learn open cv because i want convert my school subject handwriting to word document. Thank you for nice video
if you have time to learn, don't go for "word" documents. rather research about LaTeX (hard, but powerful) and markdown (easy), padoc (a converter) you can do all kinds of cool and advance stuff with your text.
@@forgewhelbon1131same bro, there was a very dangerous snake in my shop a few days ago, that is why I m searching for python, I found this tutorial very useful
16:33 if you the following error then try this, > - Can't parse 'dsize'. Sequence item with index 0 has a wrong type solution convert height and width into integers by using int(height) and int(width) in place of width and height in line 10 while setting the values of dimensions. Like if it helped
At 9:37, you hover over the .read() method and get a description of what it does. Is there something I need to configure to see the descriptions of these OpenCV methods (i.e., what they do, what parameters they accept, and what they return)?
I am getting this error: "x` (images tensor) and `y` (labels) should have the same length" when following the last tutorial. Does anybody know how to fix this?
Hey, I know this is late but thought I would post here in case anyone else gets the issue. It's because of a library update - you need to convert them from python arrays to numpy arrays. Here is the code, run it after doing caer.train_val_split x_train = np.array(x_train) y_train = np.array(y_train)
Hi, I am using OpenCV in Ubuntu 20 and it is kinda weird to say but it is somewhat different from what is being shown in the video. When I hover my mouse over the image, I can see the X-Y coordinates as well as the R, G, B values of those pixels. Also, there are some hidden buttons that allow me to zoom in, zoom out, and save the image. Anybody else experiencing the same?
This series was so much fun to learn. JazakAllah. PS. Bitwise Operator episode could be renamed: Make a Black Hole using python Just kidding. Stay awesome.
This is a goldmine of a resource. I have 3+ years experience with image processing in MATLAB. Totally into Python now and enjoying this awesome tutorial.
Hi aniruddh can i get your contact / email please? Have some work in your domain its urgent
Which is better to start with?
Python or MATLAB for ML?
@@dremr2038 From my experience, Matlab does not offer as much dynamism and flexibility, so I would definitely go with the former. I've used both but once I made the transition to Python, there was no looking back!
@@dremr2038 python is so good for ML, I don't think it has any rivals other than maybe R
I absolutely dread matlab, i cannot even fathom a language that has 1 indexing. Yes matlab sadly has the audacity to call itself a programming language. Pythons mathplotlib literally has 99% of the functionality of matlab whilst being easier to use.
anyone came here after falling asleep?
My phone was just on this vid
This is why I’m dumb
woke up around 1:40 after being asleep for 3 hours...
Here
Yes lmao
Can't express my feelings when you get some of the awesome courses on internet for free of cost 🙏
same, thanks to all these cool guys i never had to buy a course when i wanted to learn something new.
Free Code Camp is the best!
Couldn’t agree more! We’re living in the matrix and everyone watching took the blue pill (or whichever one was the right choice lol)
Really?
@@foryoutube1975 lol that is what i thought too,
I was just clicking on random videos on YT and I somehow landed on this course and GOD THANK YOU!
Learned a lot and lots of things here that I could've learned nowhere better.
Thank you for this course, although there were somethings in the last part of this course that I was not able to understand but I got a glimpse of how things are and how they work, I'll definitely learn them.
Finally, a 2020 updated opencv tutorial on the internet
You got that right boi
3:29:55 - `x` (images tensor) and `y` (labels) should have the same length - People who are getting this error, convert the list x_train and y_train to numpy arrays
x_train=np.array(x_train)
y_train=np.array(y_train)
2:08:26 - actually everything was OK. You don't need to pass masked image to calcHist mask parameter. You can just pass white circle instead, as you did first time. You can compare both histogram plots and make sure, they are identical. It worked because cats-in-a-circle image is identical to white circle in bitwise operations (if those cats have no zero valued pixels in the circle region)
The course has been really confusing at times. Thankfully, I did the same before following him so I agree with your findings
you are right.
@@S06paths
Hi, do you know how to get that tooltip type of thing that shows the parameter information in VScode pls ?
Completed this in two weeks, what an amazing course! For the computer vision part on kaggle, you might have to use your own model, i recommend convolutional layers. The model used by the tutor is out of date and you might encounter roadblocks. Good thing is, every other line of code works well with any model of choice.
Really enjoyed this course and i look forward to doing advance stuff from here!
2:44:26 When The Face was Detected
This moment gave me the most happiness to be able to detect a face.
THANK YOU FOR THIS COURSE
important ones to remember
33:19 five basic methods
1. gaussian blur
2. canny edge detection
3. dilate
4. erode
5.cv.resize
==============================================
45:17 image transformations
1. Translate function
2. rotate function
==============================================
57:55 contours
1. contours list using canny edge detection
2. contours list using blur + canny ed
3. contours list using threshold
===============================
1:12:00 changing color spaces
1. BGR to HSV
2. BGR to GRAY
3. BGR to LAB
4. BGR to RGB
AND VICE VERSA
========================================
1:24:00 extracting colors
blue
green
red
=============================================
1:37:00 Blurring
1. Average blur
2. Gaussian
3. Median
4. Bilateral
============================================
1:45:35 Bitwise
1. Bitwise and
2.Bitwise or
3. Bitwise xor
Thank you guys for making such quality videos that has helped millions. I've benefited a lot from your previous tutorials and I'm excited to learn opencv as well!
Thank you!!
I just comment so it reaches more people, because this helps THAT lot. Thank you for making this, and for making this free! It's greatly appreciated!
Thank you for the interesting content.
The error in the face recognizer is due to 3:04:44
It should be
for (x, y, w, h) in face_rects:
faces_roi = gray[y:y+h, x:x+w]
instead of:
for (x, y, w, h) in face_rects:
faces_roi = gray[y:y+h, x:x+h]
The best free, very precise, very well explained course on OpenCV. Everything about this course - the pace, code explanation , and the accent (bleu!) was really engaging. Thank you!
Hi Jason,
I have been going through many courses for OpenCV (Not that I didn't understand them) but I should say even though the course is fast-paced but well explained and especially Chapter BITWISE operations Awesome!..keep it going very well explained and practically show.
I was desperately looking for an OpenCV tutorial and I saw this like a hero :)
That was a nice course for starting machine learning but please look at (3:38:00) . We're larning to reach a conclusion . So why the model cannot work correctly?
Just gonna thank this channel and Sir you are the best teacher I have ever come across
Hey I see your effort. You all are putting so much effort and time in these videos. I think if you make the roadmaps videos like if you want to become a android developer watch this playlist in which you can mention all the videos that are related to the android development. Yes I know that you already had created playlists but they are kinda incomplete and are not roadmaps videos. And one more suggestion make a playlist of roadmaps videos for different learning paths like you had created pytorch and tensorflow tutorials if they both are mentioned in a roadmap video of data scientist and a pdf in description as if anyonnes wants to print and want the learning steps so he/she can download the pdf. I hope you will like my suggestion. Even I follows your tutorials but i didn't know whether the tutorial is for my path or not and then after researching and learning my own I find that you had made the tutorials but I was not able to identify that the tutorial is helpful or not. So if you do this it will save so much time and everyone will know what to do next.
Thanks For Reading My Suggestion :)
Nice!
u must check code with harry in that case. only if you know hindi
@@TechWithRushabh Yes know that but they have more audience than Code With Harry. So if they did this it will help more people.
@@RajvirSingh1313 Yea I know that would be cool.
@@TechWithRushabh Even I am learning c++ from him!
Essentially 😂😂 The best opencv course on youtube.
Absolute lifesaving course! in the span of a few hours I was able to do my own computer vision projects!
Sidenote : the cat pictures were a bit too cute and sometimes distracting haha.
Thanks for all your efforts, spent times, and open source-free courses. Indeed, I've started OpenCV through that course, and it's been a superb starting point for me. And there are also different kinds of courses related to Data Science and am gonna benefit from them as well. Am grateful to know a such channel and a such course..
Been needing this video since last christmas! lol Thank you! -- +9999pts for linking up concepts to examples in the video. Something abt the documentation just gets my mind wandering until I've forgotten what it was I was looking for in the first place. ;D
2:41:06
Tutorial is awesome, the explanations are much better than other tutorials I have tried, only ran into one real issue so far and that was during the "Face detection with Haar Cascades". When referencing the xml file, I found out I needed to implement the full path to the file in order to get it working properly, just thought I would throw that out there in case anyone else runs into a similar problem.
Hi,
Does this course go deep into utilizing artificial intelligence?
Thanks a lot !
Are you talking about how to solve the xml parsing error that happens? because yes i'm suffering from that currently. What do you mean by full path? because my xml file is saved in the same directory as my face detection file
@@chinmayganguly457 I had the same issue. Just look at your explorer tab (it's on the left in VSCode), right click on your xml and then click 'Copy Path' (or 'Copy Relative Path', it also worked for me)
Yeah, same situation, in my case was because I created a file inside "resources" to have more order, so VS Code needed me to give the exact file path to run haar_face.xml.
Thanks for the tip
Can't express how grateful I am for this amazing content. Thanks guys
10:34 video running
11:28 error - 215 assertion error
53:59 flipping image
58:34 canny (for edge detection)
59:12 finding contours
1:07:18 drawing contours
2:47:50 best alg for face detection
2:50:58 getting list in new way
omg your courses get released a moment after i start learning a new stuff! GREAT CONTENT! THANKS FCC!
Yeeaah. I'm just starting my TFG about Image Processing with Python and this comes out. Love FCC!
ua-cam.com/video/uNSxrWCwUqQ/v-deo.html ..
@@TheKing-ul5pw ?
OMG I love this, soooo straight to the point and clear.
I wish all tutorials were like yours!!!!!
great job so far in 1:11 now and love the content also just realized how amazing these image manipulation softwares are amazing
EDIT: Into advance section now and the true power of openCV is here awesome and awesome tutorial
this is nuts that this is free!
This video is really good for learning new things related to computers..🤩🤩🤩🤩🤩💮..good job guys....I learned almost the concepts...and making a project now..
Damn, never felt this confident on anything after just finishing the course. Kudos to you guys for bringing out this gem of a tutorial and channel as well. And all of it FREE OF COST🙏🙏
3:29:53 There is an error showing "Input data in 'NumpyArrayIterator' should have rank 4. You passed an array with shape (0,)"
What to do?😢
Hey iam an automated robot created by the RPA Champion to comment on all videos on youtube. I have liked your video. Thumbs up and keep on doing what you doing
Thank you for making this available for everyone, really appreciate the good work!
1:30:00, I try a little tweak here by using ones() instead of zeros(), then multiple blank by 255, so I can get a white canvas. The results are interesting cause it display sort of CMYK.
The exact thing I've been looking for
Thanks a lot
I voted for this! Yayy!!!
🤚✌️
@@m4leopard635 Sup from 30 seconds ago
@@lucaslindgren3237 can't get u bro
@@m4leopard635 yo again
Same
Great Job, by the far it is the best video of OpenCV I have seen... keep sharing more please
"train_gen = datagen.flow(x_train, y_train, batch_size=BATCH_SIZE)" gives a ValueError:
"`x` (images tensor) and `y` (labels) should have the same length. Found: x.shape = (80, 80, 1), y.shape = (11047, 10)"
I bought a course to learn OpenCV from this website but it was money wasted. The whole thing was filled with too much theory like what is RGB? What is BGR? How do images work? I lost interest so quickly. I LOVE how you are to the point. Your pacing is also perfect. I have never watched anything with 1.0x speed before. THANK YOU for making this course! This video is priceless.
The tutorial is great. Everything is explained in a great way. The only thing that I felt could be improved is by using some constants instead of just writing them again and again like you did in draw.py. You could've specified constant like STARTING_POINT, ENDING_POINT, COLOR and many more which would've made the code much more readable and could've also reduced the tutorial length. I would be making a pull request for this soon. Thank you for this amazing tutorial :)
If you are using intellisense, it will also pop up what each parameter is! But yeah I agree, magic numbers are never good
A slight error at 18:57 the function definition will be changeRes(capture, width, height)
I'M HALF DONE WITH THIS VIDEO, AND I MUST SAY THIS IS A GEM VIDEO❤
Thank you very much! I'm glad this video helped you :)
WAS WAITING FOR THISSS!!!!!
ua-cam.com/video/uNSxrWCwUqQ/v-deo.html ..
Thanks!
thanks for the amazing lesson best opencv course ever!
Borned to teaching code!!!....excellent methods and speech...thanks for give us a lot against none trading off fee.....keep on that way my friend!!!
One of the best courses i've taken, thank you for this !
Best OpenCV Course on youtube by far
In Face Recognition section, at 3:07:45 , in my case, model is always recognizing image with confidence of 0.0 . Could anyone please help me? Please?
How many images are you using to train your model?? If you use more images then confidence would also increase.
Same problem, but i assume the confidence is actually 100.0 and there is a problem due to data type because i always get the correct result.
Awesome crash course thanks. I too come from a MATLAB background, so I know what to look for. But it's good to see the basics in action to pick it all up with Python/C++ as needed. Thank you, Sir. 👌
woke up to this playing on youtube - i dont code
lmao same, most likely brainwashing
me aswell
Omg, having awesome tutorials free of cost, much much better than what programming learners expect.
It's 7:05 AM right now and I just realized this video is in my search history, fully watched, over night.
I don't remember watching this, like at all.
Hahahahahaha I’m in baso the same place as you mate the algorithm is fucked
It's amazing when you find the right tutorial all for free, Thanks Jason
I've been waiting for this kind of tutorial here thank you
28:35 For some reason that smile made my day 😁😁😁😁
I fell asleep and woke up to this how tf did I got here
content is gold for one who is beginner in CV. with this tutorial i gor familiar with all the basic stuff.Thanks for the tut Jason
Wow! More content in this than in my semester long Computer Vision course. Thanks!
Final Review of This Course:
Okay, if you want to get a very low level understanding of openCV, then this course will work for you. Its good if you need a refresher or are using it to get an idea of some of the important functions in openCV.
HOWEVER, you wont really understand why the functions work or why certain parameters are used. I wish the title of this video was called "Referesher Course for OpenCV".
Id recommend paying for a longer course that will go a lot more in depth into what these functions actually do and how they work.
Regardless, I still learned something, so thank you.
Thank you ! Wonderful video.
I encountered problem when trying to run ' Face Recognition with OpenCV's built-in recognizer'
(Face Detection ' works)
at the line
face_recognizer = cv.face.LBPHFcaeRecognizer_create()
Attribute Error: module 'cv2.cv2' has no attribute face
Surfing the net, for solution, realized, many people have encountered this problem
Any help appreciated
I fixed this error, it took me some time to figure out, many users have been struggling with this error
by mistake, I had installed both opencv-python & opencv-contrib-python
Even after uninstalling opencv-contrib-python, I was continuing to get the following error
---------------------------
Successfully uninstalled opencv-contrib-python-4.5.2.52
python3 faces_train.py
Training done ---------------
Traceback (most recent call last):
File "faces_train.py", line 44, in
face_recognizer = cv.face.LBPHFaceRecognizer_create()
AttributeError: module 'cv2.cv2' has no attribute 'face'
---------------------------
Then it stuck me, it is picking the cv2 from some where else
I reconfirmed this with Python shell & pip list
------------------------------
python3
Python 3.7.6 (default, Jan 8 2020, 19:59:22)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> cv2.__version__
'4.5.1'
pip list | grep opencv
opencv-python 4.5.1.48
----------------------------
Then once I uninstalled, opencv-python and reinstalled opencv-contrib-python, ONLY
the error message vanished and face_recognition started working
----------------------------
Successfully uninstalled opencv-python-4.5.1.48
Successfully installed opencv-contrib-python-4.5.2.52
python3 faces_train.py
Training done ---------------
@@sambathnarayananparthasara9403 thank you so much it worked for me....
you are the best teacher I learned full opencv with the help of you
Just finished it's awesome course... It goes like begginer to advance..
Thank you ;)
a structuring element is the NxN matrix that determines the way dilation is calculated. it is not the image that is being dilated. the dilation operator requires 2 arguments. the original matrix and the structuring element, which is basically the kernel and it has a certain size and shape. usually a disk, cross or a square (binary kernels most of the time)
3:27:20
if you're following along with pycharm
from tensorflow.python.keras.utils.np_utils import to_categorical
should be used instead of
from tensorflow.keras.utils import to_categorical
Perfect OpenCV course to start off! 👍🏼
3:09:05 a 110% "pretty sure there's an error somewhere" .... 3:39:15 "...definitely not the best model that we could've asked for..." this is learning the blind way, nothing replaces reading a good book, more cartesian, more precise.
You mean that reading books are much better, please suggest a book then plz
in arabic we have a proverb, make better or keep silent, I dont judge ur ability to do so but his work is great and I found it amazing , any books for suggestion!!!
Good and entertaining video series.
The last video gave me a good lol in the middle of the night here.
I think I woke up my neighbors thinking about one of the ”classic quotes from known and unknown programmers”:
”Despite the fact that it doesn´t work - How do you like it?”
No affence man.
Hi Jason,
Your course is very detailed and oriented towards practical application of concepts taught. Loved it. I have a personal project which could really benefit from your skills. I am not sure if you do freelance work or are interested to have a listen... Please let me know if i can reach you somehow to discuss this further...
Tiết là anh ta quá bận để trả lời bạn:))
This video is a great help to start computer vision. Thank you so much
I stucked an error at 3:30:00 and i surrendered to resolve. Finally, your Github resume back again together with "Fix Sklearn ImportError" which is inside simpsons.py then i follow the github to import sklearn.model_selection as skm and change x_train, x_val, y_train, y_val = caer.train_val_split(featureSet, labels, val_ratio=.2) to
split_data = skm.train_test_split(featureSet, labels, test_size=.2)
x_train, x_val, y_train, y_val = (np.array(item) for item in split_data)
So far, I don't find error at all. Thanks a lot
Thank you bruh!
Thanks!
3:24:13 - What is [0] [0] in plt.imshow(train[0][0], cmap='gray') line?
How close is this to the technology to the large scale commercial organsations are using such as Facebook, Apple etc? What percentage are the commercial organisations getting when they run their image identification systems?
ua-cam.com/video/GnnFy0uFe3E/v-deo.html
This is a really good resource, but I want to point out that there's error to how he expained match-confidence, somewhere around the (3:10:33) mark.
The confidence value represents the dissimilarity or error between the detected face and the recognized face. What I am trying to say is that a lower confidence value is typically better because it means that the detected face is more similar to the recognized face.
Edited: Also, the confidence value is not expressed as a percentage!
Could you please tell why i am getting confidence value always 0.0 even if face was detected perfectly
Okay, here's the shortcut I found about VS Code:
Ctrl + '/' -> Comments out a line
Alt + Up/Down Arrow -> To move text up and down
And this is personalized:
Alt + D -> Duplicates the lines
Please share your shortcuts as well.
Hello, really grateful for this course, thank you so much. I am getting this error at 2:42:58-
error: (-212:Parsing error) cv::XMLParser::parse in function 'haar_face.xml(1): Valid XML should start with '''
how do i resolve this?
Warning, the Simpsons deep learning part is having some difficulties as decay and learning rate are deprecated in Keras 2.3 above, might need to find a new way to overcome it.
Did you find the solution? Hit if you do, thx
3:27:41 There is a typo in the code uploaded in the github (caer.train_test_split) , the one in the video is the correct one. Thanks!
I'm starting to think UA-cam knows when you fall asleep
I hope I can learn well with this video. I am now korean high school student, and I learn open cv because i want convert my school subject handwriting to word document. Thank you for nice video
if you have time to learn, don't go for "word" documents.
rather research about LaTeX (hard, but powerful) and markdown (easy), padoc (a converter)
you can do all kinds of cool and advance stuff with your text.
What's python?
Snake very danger must avoid piosonus
@@forgewhelbon1131same bro, there was a very dangerous snake in my shop a few days ago, that is why I m searching for python, I found this tutorial very useful
it is a programming language that you can use to make your computer perform different things
😂 what@@forgewhelbon1131
A character from the 90's circus show- Monty python
16:33
if you the following error then try this,
> - Can't parse 'dsize'. Sequence item with index 0 has a wrong type
solution
convert height and width into integers by using int(height) and int(width) in place of width and height in line 10 while setting the values of dimensions.
Like if it helped
The way he said Bleaaaa(blur), I fell for his channel
im so happy that i found this course😀😀
讲的非常详细， I like this video.
English is my second language and I can't understand it very well but You teach such as a very powerful teacher ^_^
I hope the bests for you :)
Thanks, I was looking for some free course for image processing for computer vision👌👌
At 9:37, you hover over the .read() method and get a description of what it does. Is there something I need to configure to see the descriptions of these OpenCV methods (i.e., what they do, what parameters they accept, and what they return)?
Thank you for your effort. I' am going to watch it later: not that easy to reserve almost 4 hours :)
Big thank from France ! Really great job, you really help meand learn me a lot !
1:52:40
"This is a white hole and this is a black hole, for the physicists out there"
You are the best, thanks a lot, it helped a lot for my internship project.
I am getting this error: "x` (images tensor) and `y` (labels) should have the same length" when following the last tutorial. Does anybody know how to fix this?
same here
Hey, I know this is late but thought I would post here in case anyone else gets the issue. It's because of a library update - you need to convert them from python arrays to numpy arrays. Here is the code, run it after doing caer.train_val_split
x_train = np.array(x_train)
y_train = np.array(y_train)
You will also need to do this to the x & y_val lists too
@@stuffonthepark Thanks man you saved my ass
@@insanehum987 was your ass on the line
How can we use openCV in blender to do motion capture?
Hi, I am using OpenCV in Ubuntu 20 and it is kinda weird to say but it is somewhat different from what is being shown in the video. When I hover my mouse over the image, I can see the X-Y coordinates as well as the R, G, B values of those pixels. Also, there are some hidden buttons that allow me to zoom in, zoom out, and save the image. Anybody else experiencing the same?
This series was so much fun to learn. JazakAllah.
PS. Bitwise Operator episode could be renamed: Make a Black Hole using python
Just kidding. Stay awesome.
Haha
Thank you for this course.