Now I am learning image compression in this way :
https://github.com/tensorflow/models/tree/master/compression/image_encoder
But this pbmodel just like a Black-Box，I cannot know the network structor very well,so anyone who have this model or other image compression(loss) models can contact me ,I really want to learn this model, thank you for everyone!
Related
Can anybody suggest me how can I extract segmented image in flutter . I was able to use tenserlite model
for segmentation but i don't know how i can extract that segmented image from it.
I also wanted to do image segmentation. So I did a lot of search. And I found one open source.
https://github.com/kshitizrimal/Flutter-TFLite-Image-Segmentation
I'm wondering if there's a way to recreate the "Object" experience when viewing a .usdz file through Apple's AR Quick Look. I want an experience that showcases a 3D object without "augmenting reality".
Some options that I'm thinking of that might be able to recreate this feature:
1) Using ARKit, disabling the camera and setting my own background with a custom image. I would then set the usdz/object in the center of the device's screen while having all the interaction functionalityfor the 3D object.
2) Web AR - recreate this 3D experience elsewhere and showcase this on a webview.
Any guidance or discussion about this is much appreciated - thank you!
You can use Google's model-viewer if you are going with the web solution. Another easy and effective solution would be echoAR (full disclosure, this is where I work). You can simply upload your models there and then get a link to thier model-view. You can upload models in different formats (obj, fbx, glTF, glb, USDZ) and it'll automatically convert it to the format you need to view on any device.
I am using Venture Theme on Shopify. I am importing product images from another website with transparent background. And in my website, i am trying to show a background image which is in the Files directory in Shopify or a gradient color.
https://mottomfreedom.com/collections/less-is-more-skull-sweetshirt/products/skull-gr-sweatshirt-less-is-more-collection
I have been searching for a while but couldn't find a similar subject.
Please can any body help me with this?
#borasutcu
Solution 1: You are using PNG image, simply convert your image to JPG and it will have a background e.g https://i.stack.imgur.com/Sx82L.jpg
Solution 2: Set background to image div using CSS
Thanks for mentioning me #Deepak :) Actually i am a visual designer. My website is is receving the product image data from a different website. There will be a huge number of products and several images for each product. Converting an image from png to jpeg is an easy task but it will be a time consuming process in time. I was expecting a CSS solution. I am not experienced in coding but i think a few lines of code which is going to be added to product-card.liquid or theme.scss.liquid will solve my problem permanently. I searched for similar situations but couldn't find.
If you think that this is an inappropriate question for such a platform, i can delete my post.
I knew that "street view image API" for business provides "2048x2048" size of street view image.
However, I think above method cannot give me better quality of street view images although size might affect some improvement of quality of the street view images.
Do you know any better method to improve quality(or high resolution) of street view images by using "street view image API" ?
thanks in advance for everyone's comments.
While some of the 2048^2 images might provide better quality of images (with the higher resolution and all), you should keep in mind that the photoquality relies on camera type, camera settings, weather conditions, compression, etc. etc. a lot of factors.
Improving an image is somewhat possible but you'd have to use programs like photoshop, and even then you wouldn't get an image that is truly of better quality, just manipulated to look better. Just improving by throwing a bool to true seems rather impossible.
You'll get higher-quality images from the business API, but you'll have to pay and tell Google what you're doing.
I want to integrate OCR in an iOS application. I have found some helpful tutorials, specially This Article: How To: Compile and Use Tesseract (3.01) on iOS (SDK 5), helped me a lot. Now I can read plain text from any image which has a clear background. But I want to read information from an ID card which doesn't have clear background at all!
I have also found some answers regarding removing background in stackoverflow, for example: Prepare complex image for OCR, Remove Background Color or Texture Before OCR Processing and How to use OpenCV to remove non text areas from a business card?
But those solutions are not for iOS. I understand the steps, but I need an iOS example and if it is using Core Image, than it would be better for me.
I have no problem in OCR end, but my problem is to remove the background.
Initial Image:
After removing, the image should look like this:
Can you refer me an iOS example? or Is it possible to refer me an iOS example to remove all the color without Black color?
the best way to detect a card in sence is traing a cascade classifier.
Training is not a very small project. the count of the sample images should be more thank 10K.
Once you get the trained cascade classifier, you can detect the the card quickly.
The detection is very quick on iOS, but the tesseract recognition is not very fast,