This Jupyter Notebook allows you to interactively edit and run a subset of the code samples from the corresponding chapter in our book, Learning OpenCV 5 Computer Vision with Python 3. Any Jupyter server should be capable of running the Notebook, even if the sample input images files are not available in the server's local filesystem.
When I run ipython notebook inside the notebooks folder the images don't render (markdown or html). They do render, as in your case, with IPython.display.Image. The solution is to run ipython notebook on the working directory that has all the files you need for the ipython notebook.
NBconvert convert the notebook.ipynb to notebook.md with all images in the folder notebook_files. Embed-Images convert these images to base64, insert their code in the file and saves it as notebook_emb.md. Both lines outputs "0" for a successfully conversion.
OPTION A: Kludge workaround. I found a way to get the result I think you want using your test notebook code supplied as a starting point. I confirmed that it works whether you are saving the notebook as HTML using the 'File' menu > 'Save and Export Notebook as' or use the '!jupyter nbconvert' command you had in your notebook.
Instead of using cv2 to display your image, try using matplot instead. import cv2 from matplotlib import pyplot as plt cap = cv2.VideoCapture(0) status , photo = cap.read() cv2.imwrite('Surendar.png',photo) cap.release() plt.imshow(photo) plt.show()
I would like to display images (mostly jpg and png formats) directly from their url link inside a pandas dataframe. Imagine I already have the following dataframe: Imagine I already have the following dataframe:
eltCIxN. x9zm947yi2.pages.dev/231x9zm947yi2.pages.dev/195x9zm947yi2.pages.dev/278x9zm947yi2.pages.dev/58x9zm947yi2.pages.dev/317x9zm947yi2.pages.dev/104x9zm947yi2.pages.dev/4x9zm947yi2.pages.dev/360x9zm947yi2.pages.dev/286
jupyter notebook display image from url
