⌨️ () Introduction
⌨️ () Installing OpenCV and CaerSection #1 - Basics
Timestamp for me
⌨️ () Reading Images & Video
how did you get the videos and photos folder within VSC?
lol i dont even know how did u started Opencv visual studio
No such file or directory at please help
how you comment multiple lines instantaneously ??
Could anyone explain to me, please? Why do we need the bitwise operator here (cv2.waitKey(20) & 0xFF) ? When I used cv2.waitKey(20) == ord('d'), I still closed the 'Video' window by using 'd' key.
In this case :
how to remove error on ?
xFF == ord('d') and why is it necessary @
weird voice
⌨️ () Resizing and Rescaling Frames
Just leaving a mark for me
if you the following error then try this,> - Can't parse 'dsize'. Sequence item with index 0 has a wrong type
:I have tried your part: Resizing and Rescaling Frames () and it's works very good. But I have no sound and I hear nothing from my Video
at the inbuilt dimesional format was (height,width) but when u gave it as parameter to resize why did u give (width,height) ?
⌨️ () Drawing Shapes & Putting Text
How to write this nowdays? Tried that way but I got a traceback
watched till min
⌨️ () 5 Essential Functions in OpenCV
bookmark
i want to draw and erase line using mouse on top of that cat image, please help
⌨️ () Image Transformations
-1st bookmark
Leaving a mark for me
In , if center is not None or if I don't want to rotate around the center, how should I change the code?
⌨️ () Contour DetectionSection #2 - Advanced
=>print( f'{len(contours)} contour(s) found!')its give me syntax error its point me that ' as a invalid syntax
Sir at , we used blur to find out Contours Drawn and the normal img to find canny , so they were so different . I used blur in both cases and then the Contours Drawn and Canny seemed to be quite same.
⌨️ () Color Spaces
I am getting an warning like this "UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.plt.show()"what is the solution.
⌨️ () Color Channels
why can't we just put [r,r,r] to get red color in cv.merge ? I tried doing that but I got the grayscale image, but why does that not work?
⌨️ () Blurring
⌨️ () BITWISE operations
hey i m just wondering what are the parameters of the following statement : blank[,300:200]
⌨️ () Masking
⌨️ () Histogram Computation
(-215: assertion failed) error is showing
I thought the video is at 0.25x speed
— 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)
hello!!! at , what does the 'i, col' stand for in the 'for' loop?
can anybody help me know what exactly he did to solve the error at please? All he did was rename the variables ;circle and mask from circle to mask and renamed mask as masked without changing the code or anything.... can anybody please help me out? thank you
⌨️ () Thresholding/Binarizing Images
@
From to 2:25:00 -ish Yours will probably have more black the lower the second number and more white the higher it is, as he still has cv.THRESH_BINARY_INV instead of cv.THRESH_BINARY
⌨️ () Edge DetectionSection #3 - Faces:
⌨️ () Face Detection with Haar Cascades
Error at
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.
Hello, really grateful for this course, thank you so much. I am getting this error at -error: (-212:Parsing error) cv::XMLParser::parse in function 'haar_face.xml(1): Valid XML should start with '<?xml ...?>''how do i resolve this?
⌨️ () Face Recognition with OpenCV's built-in recognizerSection #4 - Capstone
@ where you write:faces_roi = gray[y:y+h, x:x+h]is that a typo?should be?faces_roi = gray[y:y+h, x:x+w]i think it still works because its a rectangle where the height is longer then the width.This is a great course, Thanks for the content.
In Face Recognition section, at , in my case, model is always recognizing image with confidence of 0.0 . Could anyone please help me? Please?
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.
⌨️ () Deep Computer Vision: The Simpsons
I'm facing following error in
I got a ValueError "verbose flag must be either 1 (display progress to terminal) or 0 otherwise" on the kaggle notebook due to the IMG_SIZE. I've been looking up for solutions but still couldn't find anything that worked. Anyone has any idea on why this is happening?
- What is [0] [0] in plt.imshow(train[0][0], cmap='gray') line?
cell [17] the output order x_train, x_val, y_train, y_val didn't work. i didn't look up the source code of caer.train_val_split yet, but I'm thinking maybe x_train, y_train, x_val, y_val is the right order, just by counting the output sizes.
Hello bro. Thanks very much for this series. But when I learning to . I tried to run on Kaggle 2 line:datagen = canaro.generators.imageDataGenerator()train_gen = datagen.flow(x_train, y_train, batch_size=BATCH_SIZE)it return: ValueError: `x` (images tensor) and `y` (labels) should have the same length. Found: x.shape = (80, 80, 1), y.shape = (11047, 10)Anyone know how to fix this error please !!!Thanks a lot!!!
cannot run the train_gen at as it showing error saying "ValueError: `x` (images tensor) and `y` (labels) should have the same length. Found: x.shape = (80, 80, 1), y.shape = (11047, 10) "
- `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
Error 'list index out of range'
I stucked an error at 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
training = model.fit(train_gen,steps_per_epoch=len(x_train)//BATCH_SIZE,epochs=EPOCHS,validation_data=(x_val, y_val),validation_steps=len(y_val)//BATCH_SIZE,callbacks = callbacks_list)the run stopped at Epoch 1/10 and there was an error on the callbacks = callbacks_list, which leads to a long list of errors and I don't even know what is wrong with it, HELP!!!!This is the conclusion:InvalidArgumentError: Can not squeeze dim[2], expected a dimension of 1, got 10[[node binary_crossentropy/remove_squeezable_dimensions/Squeeze (defined at tmp/ipykernel_303/1953013397.py:6) ]] [Op:__inference_train_function_2191]Function call stack:train_function
That was a nice course for starting machine learning but please look at () . We're larning to reach a conclusion . So why the model cannot work correctly?
