Tensorflow Jobs

I need help getting my development environment working with Tensorflow, Cuda, cudNN and visual studio to be able to use available nvidia gpu's for processing. This is what i’ve got so far, i just can’t figure out what i’m doing wrong… Windows 10 pro fresh install Visual studio 2019 and 2022 community edition Cuda 11.8 cudnnn 8.6.0.163 copy dll’s and alos create directory for the cudnn made environment system variables anaconda 3.9.12 What else could i be missing? I run this in anaconda but still get False for available GPU’s when i have 2 rtx 3060ti’s isntalled. python import tensorflow as tf len(tf.config.list_physical_devices(‘GPU’))>0

We are seeking an experienced deep learning researcher or engineer with expertise in fine-tuning generative models, specifically Stable Diffusion models, for an image generation project. The goal of the project is to generate artist-style soccer player graphics using an existing dataset of artist-style player images. Project requirements: 1. Utilize the provided dataset of artist-style player graphics for fine-tuning the Stable Diffusion model. Ensure the dataset is large enough to capture a diverse range of styles and players. 2. Preprocess the data by resizing and normalizing the images to prepare them for fine-tuning. The images should be compatible with the input requirements of the Stable Diffusion model. 3. Fine-tune a pre-trained Stable Diffusion model on the provided dataset of...

We are looking for an experienced deep learning engineer to develop a custom generative model for creating soccer player graphics in the style of a specific artist. (Some of our artist images can be found in the files). The ideal candidate will have a strong background in generative models, including GANs, VAEs, or other relevant techniques, and a proven track record of developing and deploying deep learning models for image generation tasks. Project Requirements: 1. Develop a generative model to create our Artist-style soccer player graphics. The model should capture the overall style and appearance of our artists' graphics while generating diverse and high-quality images. 2. Implement the model using popular deep learning frameworks such as TensorFlow or PyTorch etc., ensuring th...

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We are looking for an experienced OpenCV developer to assist our Flutter team in implementing OpenCV in our mobile app. The ideal candidate should have a strong background in computer vision and image processing, as well as experience with OpenCV libraries and tools. Responsibilities: Collaborate with our Flutter team to integrate OpenCV into our mobile app Develop and implement computer vision algorithms using OpenCV libraries and tools Optimize and refine code for maximum efficiency and effectiveness Create high-quality documentation for all code and projects Participate in code reviews and testing to ensure the highest level of quality for all projects Provide technical support to team members and clients as needed Requirements: Strong background in computer vision and image processi...

1. create a depth map of the image using default parameters (no manual user intervention); 2. use flags to decide how to animate the 3d environment/camera (horizontally, vertically, in a tall circle or in a ide circle). the flag will come from our API e.g. "3d-movement":"vertical" 3. export the animation into a 6 second mp4 file. Attached is a 2D image (input) that was used to create the attached mp4 file (output) with "vertical" movement. This is the result we want to recreate with this project.

Intelligent Interview webapp: Build with Neural network (TensorFlow model) Scope of work: while candidate is being interview, we are saving the video and sending that video to server for further processing. Once interview is completed, Cron Job pick all the video which is saved with the status pending for processing and process the video and do the analysis Step 1. Process the video Step 2. Extract the Audio from the video Step 3. Converting the Audio Speech to Text Step 4. Analyzing the Text Step 5. Analysis of the Video and Calculating the value of Extraction Problem: --Facing issue at real time video processing and the process of video analysis is very slow. --Data loss issue at audio model. Focused points: --Speedup the video process --Improve accuracy

We need a computer vision model for detecting people in images or videos, and it should be optimized to work on the OpenVINO platform. We already have a dataset available for training the model. Objectives: The main objective of this project is to develop a people detection model that can accurately detect human beings in different environments. The model should be optimized to work on the OpenVINO platform for efficient inference. Requirements: Dataset: We have a dataset available for use in training the model. The dataset should be analyzed and preprocessed to ensure that it is appropriate for the model training process. Model Architecture: The model architecture should be simple, easy to understand, and accurate in detecting people in images or videos. It should be optimized...

I want to create desktop app. which should take the input from camera, with start and end button, and then it should create video analysis of the cricket ball. Analysis includes. the speed of the ball, detection of the ball , show trajectory path of the ball &. then shows the trajectory path representation in graphical form in 360 degree