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    YOLO Model Conversion to AWS 5 dni left
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    i need to convert my yolo model to aws rekognition. the current model also lack of people and vehicle accuracy so need to improve as well

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    I am in need of a proficie...these objects but also provide specific information about them, including flagging any instances of jumping signals via license plate detection. - Additionally, it should be able to identify instances of multiple riders on two-wheelers, whether the riders are Indian or foreign, again using license plate detection. Algorithm 4 different Deep learning Algorithm and tell the best * Yolo * other than Yolo any 3 Deep learning network model The ideal freelancer for this project should demonstrate previous experience in Python coding, exceptional competency in object recognition, and ideally some familiarity with traffic regulation automated enforcement. The perfect addition to their portfolio would be past projects involving license plate...

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    I am looking for an expert in developing React Native Object Detection applications who can create a cross-platform (iOS and Android) application from scratch in a very short time of 1-2 days. It will only run the yolov8 tflite model in the attachments and perform real time object detection. Desired skills include: -Great experience with React Native -Ability to work under a tight deadline - Proficient in iOS and Android applications -Ability to work quickly without compromising quality Preference will be given to freelancers who can demonstrate a portfolio of previously rapidly developed React Native applications.

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    I am looking for an adept individual highly skilled in Yolo v9, capable of combining a face detection, a vehicle detection and a people detection model. While the specifics are not outlined, the freelancer is expected to have previous experience in handling similar projects and capable of innovative thinking to incorporate the required features. Key Skills/Experience Needed: - Familiarity with YOLO v9 - Proficiency in integrating different models - Prior experience of projects with facial, vehicle, and people detection. Note: The purpose of the model integration and preferred programming language for implementation wasn't specified, so experience with diverse purposes and languages is an asset.

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    I'm seeking an AI specialist to build a YOLOv8 model for early detection of breast cancer on mammography images. This project aims to automate t...model for early detection of breast cancer on mammography images. This project aims to automate the identification of cancerous regions, ultimately improving the accuracy of breast cancer diagnoses. Key Requirements: - Extensive experience in developing medical image analysis algorithms, particularly with a focus on mammography images. - Proven skills with Python and expertise in working with YOLO algorithms. - Knowledge of breast cancer and its typical representations in mammograms would be highly beneficial. To be successful in this project, optimal performance in precision, recall, and F1-score is expected as outcomes from th...

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    I have the distilberd model in .onnx format. it cant be done with tflite as i have not used tensorflow in my project. i need a flutter developer to start the integration immediately. it is a model for text classification. my budget is no more than 25 euros for each model. i have 3 models in total all similar on the same application. please bid only if you have time and agree with the budget. i dont want any bargain

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    I'm looking for a freelancer proficient in C++, OpenCV, and Qt. The challenge is to seamlessly compile OpenCV 4.5 with GPU support in Qt Creator o...looking for a freelancer proficient in C++, OpenCV, and Qt. The challenge is to seamlessly compile OpenCV 4.5 with GPU support in Qt Creator on a Windows operating system. I have a C++ program that utilizes the real-time object detection feature of YOLO for object recognition. Currently, it's straining the CPU (95-98%). Your task is to lower the CPU load and optimize the program's performance. Ideal skills and experience would include: - Strong C++ Programming - Experience with OpenCV, ideally OpenCV 4.5 - Proficiency. with Qt Creator - Familiarity with YOLO object detection - Experience in performance optimizatio...

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    I need a Python script to retrain a MobileBERT model for a Named Entity Recognition (NER) task in Tensorflow. The model should be able to detect specific entities in text queries relating to various types of media files. The ideal freelancer for this project would have a solid understanding of Python, machine learning, NLP, and experience with BERT models. Features of the Python Script:... - Length - Content - Retraining should be based on a provided CSV file containing Sentence, Entity, and IOB Tagging training data. The model does not need to be trained - only provide the capability. I am looking for a detailed and accurate script that can efficiently process the data and train mobileBert to identify the entities within the text queries. Output of the script should be a tflite...

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    I've got an YOLO v8 model for leaf disease detection, wrapped in a Streamlit UI, and now I'm looking to take it to the next level. Server Deployment: - I'm in need of an expert who can deploy this model onto any free cloud server. Your experience with cloud services will play a key role in ensuring the model works seamlessly once deployed. Mobile Integration: - I need to integrate this model with a mobile app with minimal ui. For this, I'm open to any free available mobile app development platform, but I need it to be user-friendly and efficient. - The mobile app should be able to take in images as input and upload them to the model. It should then display minimal results back to the user once the image has been analyzed. Desired Results: - The app shoul...

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    there are 3 models in total but first let's start with one. i will give you the model in tflite and the front end. users need to put text description and the model with classify the description into 5 caragories and show in the frontend. all these will be locally done on device using local database in offline mode. please bid only if you agree to my budget of 25 euros for this and work immidiately.

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    TASK 1 Create an object detection model using R-CNN, Yolo, or SSD. Since there's no small dataset such as MNIST and Fashion-MNIST in object detection, you can use the dataset from the d2l/notebooks/mxnet/chapter_computer-vision/ notebook. The dataset has 1000 banana images with different rotations and sizes placed randomly on some background images. 1.A Obtain the dataset. Working on a small dataset such as the one from the would allow you to train and test different models without taking hours/days to finish. Go to the notebook and obtain the dataset. 1.B Build an object detector. • using YOLO, and SSD. (need two separate notebooks) • Using the dataset, train, or fine-tune (a pre-trained model) to create an object detector

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    I'm in need of an expert in FPGA and machine learning with a focus on Convolutional Neural Network (CNN) and YOLO algorithms. The primary goal of this project is to evaluate image quality with the maximum possible accuracy. Some key details: - FPGA: Experience with VIVADO is highly preferred. - Machine Learning: A strong background in implementing CNN and YOLO algorithms is essential. - Image Size: The desired input image size is 416x416. The project aims to achieve high accuracy in image quality evaluation through these machine learning algorithms on the FPGA. The freelancer is expected to work closely with me to ensure the project meets the desired outcomes.

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    I am in need of an adept Python programmer with proficiency in running code for road extraction datasets utilizing Yolo and UNET. Key Features: - Expertise in Python is non-negotiable as the project demands code implementation in the said language. - Prior experience with Yolo and UNET is highly desired, having a strong background in image processing and handling road extraction datasets. HAVING THE CODE AND DATASETS NEED TO BE RUNNED

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    I am in need of an adept Python programmer with proficiency in running code for road extraction datasets utilizing Yolo and UNET. Key Features: - Expertise in Python is non-negotiable as the project demands code implementation in the said language. - Prior experience with Yolo and UNET is highly desired, having a strong background in image processing and handling road extraction datasets. HAVING THE CODE AND DATASETS NEED TO BE RUNNED

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    ...system that can provide accurate and real-time pose estimation for monitoring yoga sessions. Key Requirements: - The system should be capable of detecting and tracking human poses accurately, in both indoor and outdoor settings. - It should be able to identify specific yoga poses. - The system must be in 8 different methods: Open Pose, HRNet, Deep Cut, Deep Pose, Pose Net, Dense Pose, Tensor Flow, Yolo v8. - Also find the accuracy of all the above methods. Ideal Skills and Experience: - Strong background in computer vision, particularly in pose estimation. - Experience with developing real-time systems for object detection in varying environments. - Prior work in the field of health monitoring or sports performance analysis would be a definite advantage. This project is cruc...

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    Reconocimiento de un insecto en una caja donde existen otros insectos. Tengo unas 100 fotografías de dataset By using AI (TensorFlow, RCNN or YOLO) identify an insect from others quickly. Those will be inside a recipient.

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    Pogodba o nerazkritju informacij
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    I'm seeking an experienced developer with expertise in Python, object detection models, and testing procedures to add unit, integration, and functional tests for my Flask Web Server application. The application takes a recorded video, runs a YOLOv3 object detection model and then showcases the results. The tests should include tests for a Jupyter notebook that trains the model if possible. Key Requirements: - Strong Python background - Good understanding of YOLOv3 object detection model - Expertise in adding comprehensive testing suites: - Unit tests - Integration tests - Functional tests The goal is a thorough verification of the application's operation, ensuring each component behaves expectedly. Reproducible detection results and fail-safe operation are the ma...

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    We're deploying a real-time voice isolation model into Unity. It's a convolutional TFLite model. The model's in a Java wrapper. We're having trouble with the post-processing in our model we could use some help with! The model is not outputting the sound properly. It's affecting the depth leading to static noise. Usually that's bad formatting (sample rate, bit sizes, etc.) but we're looking for someone to help us better diagnose what's going wrong. We are aiming to deploy it this week, and we estimate we will need 2-4 hours of your consulting time.

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    Please read this file I sent - 1) It has TACO dataset link 2) The model should be trained in proper code and shouldn't be a single line. Proper training, based on YOLO algorithm. 3) Once model is trained, generate the result of model performance and visualise the result. 4) Write python script to take video as input and perform model on it and create webpage for it. Need it finished by April 10th.

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    I am looking for an experienced computer vision specialist to help me develop a model using YOLO and OpenCV that can detect suspicious activity in both indoor and outdoor environments. Key Requirements: - The primary goal of this project is to accurately identify suspicious behavior. Your model should be able to differentiate between normal and abnormal actions. - The model must be compatible with desktop applications. Ideal Skills: - Proven experience in computer vision and deep learning with specific experience in object detection - Proficient in using frameworks like YOLO and OpenCV - i want to detect knife , fire , gun , smoke with high acurracy This project requires a freelancer who can think analytically and has a keen eye for detail. The ability to troubleshoot and...

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    I am looking for a skilled professional in machine learning and MATLAB to work on an upcoming project that involves camera image processing. Key Tasks: - Object Detection: The project will focus on identifying specific objects in the camera images. - Image Enhancement: The images will need to be improved for better clarity and quality. - Object Segmentation: The project will include segmenting the objects of interest from the background. Ideal Candidate: - Proficient in Machine Learning and MATLAB - Experienced in working with camera images - Skilled in image enhancement and object detection - Knowledgeable in object segmentation techniques If you have a strong background in these areas and are confident in delivering high-quality results, please feel free to bid. Note: I am final yea...

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    Requirement Description The project involves capturing frames from video streams, with a focus on detecting and recognizing Mercosur License Plates. An algorithm for image cropping (after detection), grayscale conversion, thresholding (using Otsu's method and binary inversion), deskewing and filtering characters of the image has already been developed with OpenCV. It is necessary to train a YOLO model for detecting these plates to generate weight, cfg and names files that will be used by the cv2 DNN. Furthermore, training of Tesseract for recognizing mercosur plate characters from the same plates is required, with training data consisting of images pre-processed according to the aforementioned sequence. Tesseract must recognize the license plate characters with this single c...

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    ...handle a large amount of data would be beneficial. This is an intricate project requiring advanced skills in image processing and machine learning. The better the accuracy, the higher the chance you will land this project. I more so need to detect vehicles. Humans/pedestrians can be a later input. I need to be able to keep a count of the cars that drive over a certain spot. I have used Python and YOLO and created a test version, but it needs a lot of improvements. Ultimately, I would like to be able to detect and count cars going different directions. I would like to have multiple lines that I can draw or move around in order to choose where I want the program to count. I have a lot of videos that need to be counted so I will need to be able to apply this to different angles a...

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    Zapečateno
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    I am seeking an experienced developer to create deep learning image inpainting solution using Generative adversarial Network (GANs). The input is an existing small sample of noisy and respective clean images. The desired output should be a restored image with missing parts filled and graph of losses. The output of yolo model should be object detection performed by the GAN model automatically. Custom dataset has to be used. The completed solution should be robust, well-documented and include all necessary components to create a successful model. The developer should be able to work independently, resolve all technical difficulties and present a detailed plan of action prior to coding. We are looking for innovative and technical strong solution.

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    ...and creative logo designer for an events planning business. I need a combination-style logo that can encapsulate the vibrant, energetic nature of my business. I'm open to color scheme suggestions; nevertheless, bear in mind that it must communicate the brand's feel and vision effectively. The concept should be, simple, original, creative and elegant. The name of the Company is YOLO Events. We want to highlight the YOLO concept standing for You Only Live Once. Ideal candidates should: - Be able to create novel designs for combination logos - Provide a portfolio showcasing past logo design work - Offer suggestions for color schemes that perfectly align with the events planning industry - Be open to a revision process to fine-tune the finalized logo design. Exp...

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    Izpostavljeno Zagotovljen Zapečateno
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    I’m seeking expertise in AI and ML to build an object detection system focused on identifying unusual behavior or movements, specifically designed for a YOLO suspicious activity detection context. Your task involves creating, training, and optimizing an AI model that will accurately detect unusual patterns and activities in different scenarios. Key Job Requirements: - Proficiency in AI and ML algorithms, particularly object detection techniques - Previous experience in working with You Only Look Once (YOLO) real-time object detection systems - Ability to work with varied and complex activity data sets - Strong problem-solving ability in handling potential challenges in activity pattern recognition. Desired Skills and Experience: - Previous work on surveillance and de...

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    I am looking for a person that has experience with object detection and semantic segmentation with MMSegmentation. I need someone to modify my Google Colabolatory notebook that is currently doing data preprocessing then model training and finally evaluation using YOLO. Goal is to replace YOLO. Structure, logic and the idea of the notebook should be the same

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    ...vehicles and people. The ideal candidate for this project should be proficient in Python programming, as this is my preferred language for the job. Knowledge and demonstrated experience with machine learning algorithms and computer vision techniques is necessary. Key skills and experience required: - Expertise in Python - Familiarity with object detection in computer vision - Familiarity in OpenCV, Yolo. - Prior experience dealing with similar projects, especially concerning the detection of vehicles and people Please do not discuss budget in chat or conversation; the budget is as stated in the project post. The successful freelancer will leverage their outstanding technical abilities to contribute to this project's objectives. It's a fitting opportunity if you�...

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    ...types from a drone database. The UI will display a radar view and allow user interaction. Clicking on a drone will switch the system to tracking mode and zoom in on that drone. Alarm triggering should be reliable and effective. Documentation should include installation instructions, user manual, and technical documentation. Source code should be well-commented and structured. No use of the YOLO framework. Experience and references required...

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    It uses YOLO v8, please go through the project and give me a reasoble quote.

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    The models are in TF lite and i have the frontend ready. from flutter the inputs are text so you need to integrate by converting text to the binary for tflite models to work. The work is bery urgent.

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    I'm seeking an experienced Flutter programmer to integrate an existing Natural Language Processing AI model into my application. This model is specialized in Sentiment Analysis, and your role will focus on successfully incorporating this modality. Your responsibilities will include: - Understanding the nuances of the current AI model - Successfully integrating this model into the Flutter application - Ensuring the application can carry out Sentiment Analysis accurately and efficiently Ideally, you will have: - Proven experience in Flutter and AI model integration - A strong understanding of Natural Language Processing and Sentiment Analysis - An ability to work well with pre-built AI models - Strong problem-solving skills and attention to detail Your ultimate goal is to fully c...

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    I'm seeking a capable developer to create a web-based system for accident and license plate detection with a comprehensive alert system. Key features should include: - ...desirable. Requirements - I need a project on Accident and License plate detection with alert system. It should be able to detect accidents in real time and send alerts with the detected license plate details of vehicles involved in accidents. Accidents that have to be detected include car collisions, flipped cars, cars that have caught fire and two wheeler accidents. For accident detection use - YOLO, SSD, Faster R CNN and compare performance of various models. For License Plate use - Open ALPR/Easy OCR For Alert System use - DEEP SORT / FCM I need everything to be integrated. (Developing an integrated U...

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    ...AGX Xavier for real-time object detection. Specifically, I require the detection of vehicles, pedestrians, and traffic lights to be enhanced. The successful candidate will have a solid understanding of deep learning algorithms and experience with Nvidia AGX Xavier, as well as a proven track record in real-time object detection. Ideal skills and experience for this job include: * Proficient in YOLO algorithms, specifically YOLOv8. * Proven experience with Nvidia AGX Xavier. * Strong background in Machine Learning and Computer Vision. * Practical knowledge of surveillance systems. * Experience or interest in enhanced detection capabilities, particularly in relation to vehicles, pedestrians, and traffic lights. Description: Our goal is to load road video into Xavier memory, ...

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    I'm in need of an expert Python developer who can create a sophisticated application for macOS. The application must include a graphically engaging user interface enabling real-time object detection. Key responsibilities and requirements are: - Advanced proficiency in Python. Previous experience with GUI development is vital. - Fluency in object detection algorithms, especially YOLO, R-CNN, and SSD. Specific experience with implementing these algorithms in Python is highly desired. - Familiarity with macOS is necessary as the GUI will be specifically developed for this platform. I expect a polished, professional, and highly functional GUI application with seamless real-time object detection capabilities. This is not a beginner-level task and requires specialist knowledge a...

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    I am developing a flutter application that has a bit of machine learning. I want you to use TFLITE models. Please check the file for details and I can provide the dataset for the training. My budget is not more than 80 euros so please bid if you want to work immediately and agree with the amount. Please check the file before bidding.

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    ...on a project that requires precise and manual labeling of a large dataset on CVAT. - Purpose: The primary goal is to utilize an annotated dataset for YOLO object detection in a road navigation system. Hence, label accuracy is crucial. - Task Volume: It involves a substantial number of around 5000 images that need expert annotation. - Entities: These images include various entities to be labelled, particularly sign boards, and other miscellaneous objects found on roads. Skills & Experience: To ensure the success of this project, a freelancer with the following experience is ideal: - Extensive experience with CVAT. - Familiarity with YOLO object detection semantics. - Previous involvement in large-scale image annotation projects. - Background in projects related to t...

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    I am developing a flutter application that has a bit of machine learning. I want you to use work on TFLITE models. Please check the file for details and I can provide the dataset for the training. My budget is not more than 80 euros so please bid if you want to work immidiately and agree with the amount. Please check the file before bidding.

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    I am developing a flutter application that has a bit of machine learning. I want you to use work on TFLITE models. Please check the file for details and I can provide the dataset for the training. My budget is not more than 60 euros so please bid if you want to work immidiately and agree with the amount. Please check the file before bidding.

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    Hey everybody I have a simple modification to my code that now works on specific outputs, and when I train the images on the Teachable Machine website and extract the tflite model and upload it to my project, this problem occurs. E/flutter ( 8569): Invalid argument(s): Output object shape mismatch, interpreter returned output of shape: [1, 2] while shape of output provided as argument in run is: [1, 10, 4] The modification is to the identification code to suit the outputs of my model I will provide you with the complete project file and direct you to some things and sites that will help you in the testing process and determining the model specifications. Here's what I am looking for in a freelance professional: - Proficient in Flutter and Android app development - Experien...

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    ...vision technologies for gesture recognition. This project involves the classification, detection, tracing, and segmentation of specific gestures - namely hand waving, and an interesting challenge, the detection of street banner installation activities. I need a summary of the application field, data type, data no, and details for each dataset; framework (tensorflow, keras, pytorch); architecture (ex. yolo, ResNet, pre-trained); MI output results, score and reports, in addition to the actual data db. ; **Core Project Requirements:** - The system must proficiently identify and classify 'hand waving' gestures and activities akin to 'street banner installations'. - It needs to run seamlessly on both Windows and Linux platforms, ensuring a broad usability range. *...

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    I'm experiencing a few hurdles with my already developed project - an application designed to detect locusts in real-time, with a message notification feature. I have successfully developed the model and have saved the weights, and my UI is well-des...thanks to my proficiency with HTML and CSS. However, I'm encountering difficulties in regards to flask app. Specifically, I am experiencing flask deployment issue. I'm seeking a freelancer with the following skills and experience: - Flask app expertise - Proven experience in resolving API integration issues - Background in web deployment processes - computer vision engineer - who have developed yolo your main duty is to basically help me in the final step. I have all documentation ready for you. It will hardly take 2 ...

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    ...speed without compromising on the accuracy or resource efficiency of the process. **Key Requirements:** - Develop and refine object detection algorithms using YOLO v8. - Implement and evaluate performance using different tracking algorithms. - Aim to improve the inference speed of the detection process. **Comparative Analysis Focus:** - Accuracy of detection. - Speed of inference. - CPU/GPU resource consumption. **Skills and Experience Needed:** - Proficiency in Python programming. - Extensive experience with deep learning frameworks, specifically TensorFlow, PyTorch, and ONNX and tensorrt and openvino. - Expertise in implementing YOLO (You Only Look Once) models for object detection. - Familiarity with different tracking algorithms, plus an interest in MOSSE and CSRT ...

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    Title: Seeking Robotics Engineer to Complete Tomato-Picking Robot Arm Project Description: We are looking for a skilled robotics engineer to complete a tomato-picking robot arm project. We have a robot arm and its components ready, including 3 NEMA 17 stepper motors, 2 SG90 servo motors, a Raspberry Pi 4 (4GB), and an A4988 motor driver. The goal is to integrate a vision system (YOLO v8) for tomato detection and develop code to move the robot arm to the detected tomato position for picking. Key Responsibilities: 1. Integrate the vision system code with the robot arm to accurately detect tomatoes. 2. Develop code to control the robot arm and move it to the detected tomato position. 3. Complete setup and wiring connection of the robot arm components. 4. Ensure seamless communication...

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    ...and perspectives. Data Annotation: Annotate the footage to label players, the puck, and key actions such as shooting, passing, and skating. Data Cleaning: Remove any irrelevant or noisy frames from the footage. Frame Extraction: Extract individual frames from the video footage to feed into the computer vision model. 2. Computer Vision: Player Identification: Use object detection algorithms (e.g., YOLO, Faster R-CNN) to identify and track players and the puck in each frame. Player Tracking: Implement tracking algorithms (e.g., Kalman filters, optical flow) to track players' movements across frames. Action Recognition: Train a convolutional neural network (CNN) to recognize different actions performed by players (e.g., shooting, passing) based on the tracked player positions a...

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    I'm seeking a talented freelancer with expertise in computer vision to enhance our security surveillance capabilities. This project will focus on three key areas: object detection, image recognition, and video tracking. Using Python as the primary programming language, the objective is to develop a robust system that can accurately identify and track objects and individuals in real-time to improve security measures. **Ideal Skills and Experience:** - Proficiency in Python, with a strong emphasis on libraries relevant to computer vision (e.g., OpenCV, TensorFlow, or PyTorch) - Proven experience in object detection, image recognition, and video tracking techniques - Familiarity with security surveillance systems and the unique challenges they present - Ability to optimize algorithms fo...

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    Tengo un dataset con imágenes que esta dividido en dos carpetas. images: imágenes de la hojas de arroz en formato jpg, JPG, jpeg. labels: achivos .txt con etiquetas de las enfermedades de hojas de arroz. Deseo desarrollar un código para google colab de tal manera que implemente faster-RCNN, incluye todas las etapas del código, y mostrar los resultados del entrenamiento precisión, recall, f1 score.

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    ...I require expert help with debugging pertinent issues that have disrupted the smooth operation of my personally designed Yolo-Python program. As an intermediate user of both Yolo and Python, I'm struggling with some issues that need a professional touch. In this regard, I'd highly appreciate the engagement of individuals who are proficient in these areas. Key tasks in the project will include: - Identification of bugs impeding my Yolo-Python program - Debugging the current code - Recommending measures to prevent future occurrences The ideal candidate for this task should possess: - Strong proficiency in Python and YOLO - Depth of experience in debugging Python and YOLO projects - Demonstrable problem-solving skills - Excellent communicati...

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    ...admitted that Floyd committed tortious interference by convincing him to bail on the Haney fight to instead commence negotiations with Floyds fighter Romero. I wonder if Oscar will do anything about it. Probably not baroidi 01-30-2024 Ryan Garcia should fight Jake Paul, it will do historical PPV#s Tim Tszyu on Fighting Keith Thurman: ‘This Is a Pinch Yourself Moment; When You Think of the Word YOLO This Is It’ 8m ago Simon Kean Decides To Retire From Boxing at 35-Years-Old 1h ago Vasiliy Lomachenko vs. George Kambosos Official For May 12 at RAC Arena in Pert Face To Face To Kick Off Fight Week 4h ago Ryan Garcia: Don’t Know If Rolly Will Make $1M To Fight Cruz; Would’ve Made In $5M Range With Me 6h ago Zhilei Zhang Expects Artur Beterbiev To Stop Dmi...

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    I'm experiencing challenges with a frame lag in the deployment of the YOLO model, while using an RTSP stream. when the model is running on a Windows platform. Ideal assistance for this project should come from individuals with the following skills and experience: - Proficiency in fixing similar algorithms facing frame lags. - Familiarity with YOLO model deployment, particularly within RTSP streams. - Knowledgeable in optimization techniques for the YOLO model.

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