Image Processing Jobs

Hello, I am looking for someone to write a Python script to add skin texture to a drawing of a human face contained in an image file. The script should simply take in one parameter, the image file from a local file system directory (windows preferred, but Linux is ok too if there's a technical reason that it's necessary), and then utilize some type of machine learning based algorithm (GAN or otherwise) to render a realistic looking skin texture on the drawing contained in the source image. I'm ok if this requires something like Tensorflow or Pytorch installed first in order to run. Once the render is complete, the script should produce a new image file (jpg, png, etc..) with the skin texture overlayed on the original source drawing. The output should look as photorealistic a...

hi everyone i have a project for image sensing to count tree from tiff image, i basically using python to process the image and later will running in dekstop app

Im looking for a python programer to join my team. I have a few ongoing programs and a few programs that need completing. At the moment the current projects use :- Selenium Pyautogui image to text This is on going and a long term role.

Total of 40 data images alongside with cell count is available need help in identifying the right neural network model and coding the whole training of the model the final code should train a model and able to provide the cell count of an image that is not included in the training model

Im looking for a python programer to join my team. I have a few ongoing programs and a few programs that need completing. At the moment the current projects use :- Selenium Pyautogui image to text This is on going and a long term role.

The video attached is from a recent break-in to my parents house and we are trying to get some better resolution still images (and video if possible) of the suspects so the tattoos and identifying features can be clearer for the police to process. I am looking for someone to process this through some upscaling AI software and taking some still images of the tattoos and faces.

My project is to add new custom dataset to the original one Incrementally. For example, I want to add new class while preserving other classes from previous model. The output will be a new class with the original one. To be clear, I have two classes named ( permanent teeth, primary teeth, and filling). Model 1 trained on PERM dataset ( single class) Model 2 used pre-trained from model 1 to train new class (PRIM dataset). The output should be ( two classes, PERM & PRIM). Model 3 used pre-trained from model 2 to train new class ( filling). The output after this model should be 3 classes and so on. I want to tackle the problem of catastrophic forgetting. Requirements: 1. Using Mask RCNN or U-Net versions ( TF & Keras) 2. Applied the continual learning approach similar to the atta...

I have a signed autographed picture that is getting bubbles under the picture

I am looking for someone to develop high accuracy deep learning and transfer learning models utilizing a Convolutional Neural Network for the Breast His-2 Dataset. And aiming for the target accuracy to be in the 0.9-1.0 range. Also, I need the review of previous papers. If you are a skilled professional and think that you can accomplish this task with confidence of meeting the desired target accuracy, then please feel free to bid on this project.

Enhancements required in AI models, python script/javascript for existing project. Image processing experience is must required for this task. Full requirement of the task will be discussed over a call.

Part time hourly job 10 hours per week Integrate available codes Resolve issue Optimize the code Buil the apk (nattive)

I have three different raster files (radar, uav, lidar) and a shapefile. first of all, I should reproject and resample the rasters to the same resolution. The datums (horizontal and vertical should be made common) once they have the same size, the elevation values from the same locations over these rasters should be extracted (latitude, longitude, height) using shapefile.

The task is to take screenshots of a website and format them for web use. The screenshots needed are: one cover image at 800x900 px, three mobile screenshots at 390x844 px each, and three desktop screenshots at 1440x1080 px each. The screenshots should be put through to format them appropriately. The three mobile screenshots should be combined into one screenshot, similar to an iPhone 14 image. The three desktop screenshots should be used to create three separate screenshots, one for a browser, one for a MacBook Pro 16, and one for an iPad Pro 13. All images should be compressed and converted to webp format for optimal web use. Each screenshot should be named with the website name in lowercase with hyphens between words, followed by either "cover", "mobile-1", &q...