Posenet tflitedela
I want to develop some server-side code Using PoseNet,/OpenCV/Yolov3 and Python ✓ Analyse a video of a football match. For each player, I want to generate some stats Deep experience of the subject area is a must. No time wasters please. In both cases, you will need to show me what you have done in this field, and prove that you can deliver the serverside code in Python. To prove that you have read this, please start your bid with the word "Footie". Thank you.
I'm working on a project that requires a raspberry pi 4 + google coral to use a TFlite for object detection using a dataset i will provide. This will use the ssd_mobilenet_v2_quantized_300x300_coco_2019_01_03 model and will be done in google Colab. This does not require a specific user interface or anything special like that it just needs to work well and be easy to swap the training/test images and labels.
App proposed budget is 500usd. Android and iOS. Developer must publish iOS version.
App proposed budget is 250usd. Developer must publish iOS version.
App proposed budget is 500usd. Android and iOS. Developer must publish iOS version.
App proposed budget is 250usd. Developer must publish iOS version.
App proposed budget is 250usd. Developer must publish iOS version.
Hi I create a model using and I need to convert this model to tflite.
i have a freezed tensorflow model and wanted to convert it to tensorflow lite model as soon as possible.
I need a tensorflow posenet app done during the weekend. Budget is 150usd. Android and iOS.
Using tensorflow posenet Register movements and more Android and developer most publish for ios (have account for publishing also) The bid of doing in shorter time I will choose Budget is 150usd in 3 milestones of 50usd.
Tensorflow posenet app Budget is 150usd Android and iOS I need someone that can publish my app on ios. I dont have backend so hired freelancer will do from scratch app.
I need a tensorflow posenet app done during the weekend. Budget is 150usd. Android and iOS.
I need a tensorflow posenet app done during the weekend. Budget is 150usd. Android and iOS.
I need a tensorflow posenet app done during the weekend. Budget is 150usd. Android and iOS.
android and ios tensorflow posenet needs publishing for ios
developer will publish it for ios (apple developer account required) ios android tensorflow posenet total budget 150usd when app is progressing i will release 1st milestone
Needs iOS and developer account for publishing on iOS its a tensorflow app using posenet and more functions budget total is 180usd
TOTAL budget is 180usd android native ios native
We're looking to develop a web-based ML solution to do pose estimation for human feet. From our preliminary research we've found a TensorFlow and PoseNet implementation that works on the web (but does not include feet) We've also found a foot dataset which could potentially be utilised. We are open to using different ML technologies as long as it can run well on the web. The web experience needs to run at interactive frame rates (around 30 fps) and feet pose estimation and tracking needs to be accurate. For inspiration, here is a native app which does this very well.
I want to develop a web app for Gym/Yoga trainer and trainee, to give and do exercise online. For trainer 1. They can upload a video showing how to do an exercise. 2. After uploading, they can choose the pose image from that video that demonstrates each step of the exercise. For trainee 1. They can view the videos upl...estimation. You will be able to detect poses from the video. Fortunately, there is a library for you to do: 3. Pose similarity. You need to compare the trainee live video with pose images extracted from trainer video. If the poses are similar, you can mark the step as done. This library is also available: 4. You will design the web UI and code the functionalities.
...input and outputs characters directly — the transcription of the audio, and uses LSTM (Long short-term memory) cells instead of GRU (gated recurrent unit) cells. This project targets <6% of Word Error Rate, and especially for key phrases and key words to <3% WER, close to human level performance for English and Chinese languages. 1. Use the latest Mozilla’s DeepSpeech ASR engine which comes with .tflite model (TensorFlow Lite), faster than real-time on a single core of a Raspberry Pi 4, and able to make our own audio transcription application with hot word detection function. 2. Generate Confidence Scores of high accuracy level. Be able to retrieve result confidence scores for each English word and for each English sentence in a transcription of audio into ...
...features as input and outputs characters directly — the transcription of the audio, and uses LSTM (Long short-term memory) cells instead of GRU (gated recurrent unit) cells. This project targets <6% of Word Error Rate, and especially for key phrases and key words to <3% WER, close to human level performance for English language. 1. Use the latest Mozilla’s DeepSpeech ASR engine which comes with .tflite model (TensorFlow Lite), faster than real-time on a single core of a Raspberry Pi 4, and able to make our own audio transcription application with hot word detection function. 2. Generate Confidence Scores of high accuracy level. Be able to retrieve result confidence scores for each English word and for each English sentence in a transcription of audio into t...
Well, i need an implementention for this problem using MobileNets,GoogleNets,ElfNets etc. and export each of model in TfLite can use what library you want.
Hello I wanna make human detection project in C#. I already have pretrained tflite model for human detection, so i wanna use this model by using package in C#. If you have some experience of this field, please bid. Thank you
I want someone who can take a Tensorflow LSTM model and convert it to TFLite with a converter and creating Python and C++ Code to call and inference the TFLite Interpreter.
Hello I want to complete Android APK to detect objects from real time stream. To do it, I need to select the best candidate for my project. Please bid on this project if you can do it, surely. Thanks.
We follow by this tutorial: from with our custom simply dataset !AqMj-Q3ogKkhhnkPKTIm4rSBGA-t?e=rWHyAH created via ~vgg/software/via/ Trained model works in google colab but we can’t convert it to tflite with code(attached file) Someone can help this will be hired ASAP. Please bid with the first sentence of the attached file.
i wanna use rcnn with tflite and i have problem with convert saved h5 model to tflite model. When i try this name = "" (name,True,False) converter = tf.lite.TFLiteConverter.from_keras_model_file(model_file=name, custom_objects={'BatchNorm':,'ProposalLayer': }) i get error TypeError: __init__() missing 2 required positional arguments: 'proposal_count' and 'nms_threshold'
I need you to train model with available ecg arrhythmia detection dataset and convert it into tflite format. Please read paper attached for ready reference. Apply only if worked on such problem statements. Reference:
Hi, i have a images of book that have text or images. I need to create a system to create a model that help to detect image on scanning. I will create app myself. I need a python system that create tflite model (.lite & label txt file) I am attaching sample images
Hi there, I need to build a real time object detection on video stream using Tensorflow lite, Raspberry pi zero, and C++ you can use pretrained models provided by tensorflow org: the app is simple, but it needs to have good performance, please start your proposal with tflite, Kind Regards, Ahmed
The app should allow the user to register, login, create a profile, click a picture and view suggestions based on that picture. For the image recognition part we have the ML model, which generates the tags that will be used to display the result. We need a professional looking Android mobile app that can do above work. Also, we need to integrate the app with the tflite model. It is a time sensitive project.
All I need is someone to convert my tensorflow model to tflite for deployment on google firebase. DNN classifiers are frustrating but it only requires a few lines of code
Hi Zhengang Y.,All I need is to convert my DNN classifier on Tensorflow to tflite for deployment on google firebase. Can you do this?
Hi Shivam P., are you familiar with tflite? I have a DNN classifier model I am having trouble converting it to tflite for deployment on google firebase. All you have to do is convert the model to tflite so I can use it on firebase
I want to get an app or library done that does image and video segementation using tensorflow or tflite in android.
Hello, I am looking for an openCV expert who has 2+ years of experience in tensorflow, python. I would like to discuss more in the interview process. regards.
it's an android application, where the user takes a picture by camera or upload it from the gallery to know more information about this flower, and the app should take the pic as an input in tflite file to classify it, and it should return a result. Depend on the result the app should open a new interface contains the detailed information about the classified flower. what i need is to open the camera, take the picture and use the picture as input to the model, finally take the returning output and show it to me so i can use it later on. one more thing, i need to do the same thing with uploading picture from gallery. + another task i will be glad if it can be done, i want to capture the date and the time of taking or uploading the picture, so i can use it also later, it&...
Our project is based in squeezedet which can be found here () We are able to train the model and get fairly good results. Basically, we now want to bring this model to deployment (inference). This is the help we need. 1. To help us identify if the model is suita...deployment (inference). This is the help we need. 1. To help us identify if the model is suitable for deployment. For example, we see the input to first layer is batch, we want to do object detection in real-time. 2. Take the checkpoints files and write a script to freeze the graph. 3. Write a script to optimize the graph for inference. 4. Write a script to convert to TFLite format. 5. Write a simple script to load the model in TFLite format and load an image to test object detection.
I need to traning some models using TensorFlow, and need as .tflite
Verilen dataset ile tensorflow modelinin eğitilmesi ve tensorflow kullanarak oluşan .pb dosyasının .tflite dosyasına dönüştürülmesi.
I need someone to help me with converting tensorflow object detection frozen graph into tflite file, which I will be able to use in my mobile app.
