Computer Vision Jobs

i was trying to run the project using kaggle got errors.i am looking for sombody to correct the erros in code

we need to analyse various angles of a golfer whilst they are mid action of a golf swing, it is very easy to get angles from x -y plane, however we need to calculate angles such as spine bend which require a good approximation of z coords, which has proven very hard to do , we need either a ratio based kinematic algorithm or another approach. currently we have been utilising a standard out of the box solution of mediapipe on python.

Want Skeleton tracking program (Source Code), program need skeleton real time detect user's body joints points (reading X, Y , Z position values) using 2D Web Camera. Body joints point tracking: head, neck, left shoulder, center shoulder, right shoulder points, left hand and right hands, hand palms, and hand center points ...etc. Here is a YouTube video for example Development platform: prefer Visual Studio 2013 Language: C# (Windows Desktop Program) Application: WPF , Windows Presentation Foundation

Need to develop an algorithm to estimate cortical thickness map from a raw T1-weighted image. Cortical thickness map is the thickness of the gray matter of the brain at every point

The project is simple yet can be tricky. 1. I will supply you with 50+ images for each of 4 objects from various angles 2. You should gather the images for an 2 extra comparable objects in your vicinity (choice of objects is a subject of an approval by me) as a secondary test and to help you debug 3. you need to select any of the existing machine learning models and re-train it so that the objects can be reliably detected 4. put together a super simple mobile app which detects the newly added objects in live camera view 5. write a simple 1 page document summarizing your approach or jump on a recorded video call to capture your process if you achieve in 4/6 objects recognized (in daytime conditions) and deliver the report of your approach, you get paid the full contract and might also e...

Need to develop an algorithm to estimate cortical thickness map from a raw T1-weighted image. Cortical thickness map is the thickness of the gray matter of the brain at every point

I am working on a complex image classification project using computer vision, and I need a guide who will correct and improve the work steps for me.

Medical Image analysis using opencv and other computer vision framework tool.

What I am trying to achieve is a denoised image ready for use in Android Tesseract OCR. The solution I came up with is to use the AbsDiff implementation of opencv to make the text colour within the images uniform. This is achieved with assistance of MedianBlur. After implementing this solution, i now experience noise in the images that can be as a result of the AbsDiff. What i now need is help in denoising the resulting image from AbsDiff or a custom implementation to achieve the solution I have described above. AbsDiff - Absolute Difference MedianBlur - Blur effect by the use of the median value within a range of pixels in an image.

I want to implement Faster R-CNN Pytorch on my custom dataset.

Invite Only - Computer Vision Development Project

We are looking to build a facial recognition shared library. The core library must be written in C++ due to future testing requirements. There will end up being multiple stages for ongoing work. Stage 1 - Proof of concept - OpenCV utilizing pre-trained DNN models that are available - Load image by filename and detect face - Write binary face template to disc with 128D vectors, write template data (i.e. eye location, UUID) - Finalize gallery by concatenating enrolled templates and merging template data into a manifest - Search gallery with probe image - Generate candidate list from search sorted by Euclidian distance [0-1] and match w/ manifest data - Build C++ shared library so tests can be called via command line and through another test application Environment Requirements - Library mu...