I am working with extracted images from videos and I was able to accomplish that and I have an annotation xml file for the extracted images. As I am new to computer vision. I am confused about how to proceed from there and how to add the xml file to my extracted images. I want to prepare my data for DL model. Any help would be appreciated.
I am assuming you are extracting images from video based on video's FPS and each extracted image is stored in images/ folder.
Use Annotation tool like CVAT, labelimg, etc and open images/ using these tools.
LabelImg: https://github.com/tzutalin/labelImg
Get Started: https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data
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I am trying to work on a computer vision model but the dataset is completely new to me. It is as shown :
Dataset folders image
I have to extract each image in every folder and combine them into one train and one test folder. This is to get the filepaths of each image which I will use to decode jpeg. Can someone help me with the same ? Basically I need the filepaths of each image in one list. But the image names are also duplicate in each folder.
How can I apply my filter to all jpg images in a single folder after another.
A loop like check how many data then load pic1 (then filter and store result) going to load pic2...until pic.last
I´m using imread to load and imwrite to store after the filter for 1 image atm
i'm running an object search by using different color-filter options this works fine. I´m chemist and new to python.
I need to identify (but not extract) nonselectable image from PDF. I went through the thread 'Extract images from PDF without resampling, in python?' but didn't get a solution. If I'm correct, PyMuPDF can only identify the selectable images (when you click it the image gets shade). Please refer to the line chart in 61899345.pdf in the link as an example of nonselectable image. Because I have a large number of such files to process, I guess I have to find a rule to define an image. Thank you.
Hi I tried to use pdfimages to extract ID images from my pdf resume files. However for some files they return also the icon, table lines, border images which are totally irrelevant.
Is there anyway I can limit it to only extract person photo? I am thinking if we can define a certain size constraints on the output?
You need a way of differentiating images found in the PDF in order to extract the ones of interest.
I believe you have the options of considering:
Image characteristics such as Width, Height, Bits Per Component, ColorSpace
Metadata information about the image (e.g. a XMP tag of interest)
Facial recognition of the person in the photo or Form recognition of the structure of the ID itself.
Extracting all of the images and then use some image processing code to analyze the images to identify the ones of interest.
I think 2) may be the most reliable method if the author of the PDF included such information with the photo IDs. 3) may be difficult to implement and get a reliable result from consistently. 1) will only work if that is a reliable means of identifying such photo IDs for your PDF documents.
Then you could key off of that information using your extraction tool (if it lets you do that). Otherwise you would need to write your own extraction tool using a PDF library.
Is there a way to count number of images(JPEG,PNG,JPG) in a pdf document through python?
Using pdfimages from poppler-utils
You might want to take a look at pdfimages from the poppler-utils package.
I have taken the sample pdf from - Sample PDF
On running the following command, images present in the pdf are extracted -
pdfimages /home/tata/Desktop/4555c-5055cBrochure.pdf image
Some of the images extracted from this brochure are -
Extracted Image1
Extracted Image 2
So, you can use python's subprocess module to execute this command, and then extract all the images.
Note: There are some drawbacks to this method. It generates images in ppm format, not jpg. Also, some additional images might be extracted, which might actually not be images in the pdf.
Using pdfminer
If you want to do this using pdfminer, take a look at this blog post -
Extracting Text & Images from PDF Files
Pdfminer allows you to traverse through the layout of a particular pdf page. The following image shows the layout objects as well as the tree structure generated by pdfminer -
Layout Objects and Tree Structure
Image Source - Pdfminer Docs
Thus, extracting LTFigure objects can help you extract / count images in the pdf document.
Note: Please note that both of these methods might not be accurate, and their accuracy is highly dependent on the type of pdf document you are dealing with.
I don't think this can be directly done. Although I have done something similar using the following approach
Using ghostscript to convert pdf to page images.
On each page use computer vision (OpenCV) to extract the area of interest(in your case images).