Posenet tflitedela

I have built a model in tensorflow and converted it to tflite model. I have trouble using this model in Android platform as I don't have experience in building apps in Android. I need some one with prior experience working with tflite models to help me on you are interested please contact me. Could turn into a long time collaboration based on the performance.

We require remote support to resolve TFLITE model error and ongoing technical support. We are hitting errors when running a tflite model on a coral ML device. Access will be provided into the environment for troubleshooting. A playbook is required to enable the team to resolve this error in the future. Remote support will be via a Zooms call. Linux commandline experience is required.

I need a Tensorflow expert who can support Coral Device error. I require support to resolve TFLITE model error and ongoing technical support. I am hitting errors when running a tflite model on a coral ML device. Access will be provided into the environment for troubleshooting. A playbook is required to enable the team to resolve this error in the future. I'm waiting the only expert.

I need a Tensorflow expert who can support Coral Device error. I require support to resolve TFLITE model error and ongoing technical support. I am hitting errors when running a tflite model on a coral ML device. Access will be provided into the environment for troubleshooting. A playbook is required to enable the team to resolve this error in the future. I'm waiting the only expert.

We require support to resolve TFLITE model error and ongoing technical support. We are hitting errors when running a tflite model on a coral ML device. Access will be provided into the environment for troubleshooting. A playbook is required to enable the team to resolve this error in the future.

Only bid if you are comfortable with building Android tflite applications

We have 2 Tflite Models for Image Classification and Object Detection. We are looking to validate the model with Dataset of 40 Images and share the results.

I have the pytorch file. Need conversion to .tflite

i need to convert the model in the below github repository from .pth file to .tflite to be able to deploy the model on android devices

I trained the picture and exported into tflite, after loading the model into flutter and running object detection, how can I solve the shape problem?

I have a tflite model that can't run on USB Google coral. Task: 1) test and convert one or two tflite model that can run on Google coral 2) provide the step that convert the model.

Starter at ML and DL, can anyone guide how to make custom model and export it tflite and what are shapes ?

**** INDIVIDUAL FREELANCERS ONLY **** Looking for an experienced Unity developer for ~ 1-2 month project to develop an app on Unity. High level project requirements (Detailed requirements to be provided once shortlisted) - - As a first step, create a quick proof-of-concept to demonstrate your skill level (related to the application requirements). T...duration contract once the MVP is completed. - Delivery and payments will be milestones based - Write - "I am human" at the top of your bid/response, so we know you have read through the job requirements Required experience - - Experience in game development - Minimum 6 years experience on Unity development (both Android and IOS) Good to have experience - - Tensorflow / Tensorflow Lite experience - PoseNet / OpenPose exper...

Need a tutor for machine learnin, must know how to use Wekinator, ML5, Posenet, Style Transfer , sound classification

Hi Kaibalya B., I want to update the existing PoseNet algorithm to OpenPose and extract to save metrics like body posepoints, UserID, time and activity to Json, csv like we did before. No changes except baseline algo which is OpenPose this time. I'll pass you my old notebooks which you developed for reference. thanks

half and hour meeting with someone having great knowledge of tflite

Need some help to convert torch trained model into tflite

Use both models(posenet and yoga) and show if the user is doing good. It must have a login and signup screen, and should allow the user to pick between diferent poses by their ability, begginer, intermediate and expert.

Hi Sajjad T., I noticed your profile and would like to offer you my project. We can discuss any details over chat. Over View - I have tensorflow based model and I want to converted into tflite.

i trained a yolo model but i want to convert it to tflite int8 i want someone to help me on converting the model

About Dataset: Dataset contains photos of different food items being fried. Each item are being fried into oil tub using grill bucket. Example is attached below. Task 1)Apply YOLOv5 using TFLite(dataset is already labelled.) 2) Detect the item and track the time for which each item is being fried. 3) You have to save the recorded time data for each item into CSV. Columns of data being saved into CSV: Item Name -> Class Name of the detected Item, Start Time -> Time when the detected item was dipped into oil for frying, Duration -> Duration for which the item was put into oil for frying Best Fit Candidate will be selected. Can take reference from this link. - Start your bid with Headline given in the link.

About Dataset: Dataset contains photos of different food items being fried. Each item are being fried into oil tub using grill bucket. Example is attached below. Task 1)Apply YOLOv5 using TFLite(dataset is already labelled.) 2) Detect the item and track the time for which each item is being fried. 3) You have to save the recorded time data for each item into CSV. Columns of data being saved into CSV: Item Name -> Class Name of the detected Item, Start Time -> Time when the detected item was dipped into oil for frying, Duration -> Duration for which the item was put into oil for frying Best Fit Candidate will be selected. Can take reference from this link. - Start your bid with Headline given in the link.

Framework - TFlite (Python) with TPU support. Object Detection Model - YOLOv5 Hardware - Respberry PI New Freelancers are also welcome. Data Labeling is already completed. Just need to build the model and train it so that it can be deployed on respberry Pi. Can take reference from this link. - Start your bid with Headline given in the link.

I can provide the model on TF and tflite files, I need to run properly the int8 model on my hardware. Thanks

I can provide the model on TF and tflite files, I need to run properly the int8 model on my hardware. Thanks

1) Take the RepNet model from here () 2) Convert it to TensorFlow lite format 3) Submit the code to do it and the model to me

Am nevoie de un model de rețea neuronala care sa recunoască niște comenzi și sa extragă entități din comenzi. Aceasta rețea va trebui convertita în tflite pentru a o folosi pe un dispozitiv android

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi All I need help to convert the TensorFlow graph that I trained with the ssd_mobilenet_v1 model to tflite graph i used tensorflow 1.14 for training i used the following tutorial for training the training passed successfully and working well with TensorFlow but when converting it to tflite stop working i got the following files from training -> model.ckpt-81701* <attached> i used the following commands for convert it to tflite python ./../../models/research/object_detection/ --pipeline_config_path=./training/ --trained_checkpoint_prefix=./training/model.ckpt-81701 --output_directory=./tflite_model --add_postprocessing_op=true after this command i got

Hi there. We need to develop an App (for iOS and Android) which will be used to control a Camera Controller Device. The App consist of mainly below but not limited to: - Remote Read/Write Settings (WiFi WebSocket API) - Live View, Camera Control Element, Gallery - File Manager (SMB or other Network File Client Protocol) - GPS Geo-tag - TensorFlow Lite Model deployment (.TFLite file will be provided), Flickr API (REST based) - Bluetooth LE (nRF52 Chip Firmware Update) - Device Preset/Settings and User Login - Some Custom UI element (Histogram, Curves, Meter-gauge … etc) - Native UI (Material for Android and Cupertino for iOS) - Performance optimized We have detailed UI design ready and will be shared with shortlisted applicants. Please apply with relevant portfolios.

Hi there. We need to develop an App (for iOS and Android) which will be used to control a Camera Controller Device. The App consist of mainly below but not limited to: - Remote Read/Write Settings (WiFi WebSocket API) - Live View, Camera Control Element, Gallery - File Manager (SMB or other Network File Client Protocol) - GPS Geo-tag - TensorFlow Lite Model deployment (.TFLite file will be provided), Flickr API (REST based) - Bluetooth LE (nRF52 Chip Firmware Update) - Device Preset/Settings and User Login - Some Custom UI element (Histogram, Curves, Meter-gauge … etc) - Native UI (Material for Android and Cupertino for iOS) - Performance optimized We have detailed UI design ready and will be shared with shortlisted applicants. Please apply with relevant portfolios. Inter...

We need to implement a Flutter App which can recognize audio commands with a custom audio model based on TFLite. The job consist in implementing an existing Flutter plugin () but rather than using the default tflite model you should export the model from this Colab (). The Colab trains a model to recognize the words “yes” and “no” but contains audio data for several other words. Please train the model with the words “bed”, “dog”, “down”, “tree” and “three”. We have tried training the Colab but are currently getting a TypeError in step number 14 (“TypeError: can only concatenate list (not

I need a Python expert to review code of approximately 350 lines in order to refactor and optimize the code, to treat possible error conditions in order to keep the code running persistently, even if some condition outside the code is not adequate , such as a server crash, a connection problem, or resuming execut...first step is completed, the code will be put to test and error conditions must be generated in order to test the new routines created. If the code works properly, the job is done. The Python code will run on a Raspberry PI 3B. It is a script to perform the task of taking pictures using the picamera. The photos will be analyzed by a Tensorflow artificial intelligence model operating at the edge (tflite) and the results recorded in a database via API, through a json reque...

Help us build a unique app. It involve in recording and editing a video + using core ML- PoseNet

Hello. I am looking for support to train and deploy TensorFlow (TF and TFLite Model) for Image Similarity Search (Object based). Please apply with your past relevant ML experience in Image Similarity Analysis. Note: This project is only for freelancer from Americas and Europe. Outside this region please do not apply. Thanks. Regards.

...accelerate our effort with the help of a TensorFlow/TensorFlow Lite expert to work with us on model tuning and optimization. Some experience working with Swift/iOS is required. We expect to have ongoing work for this project. This would be your first task: Google published a web based model for pose detection based on a ResNet50 architecture: This model is only available as a tensorflow js. model and we would like to convert it to a tensorflow lite model running on an iOS app. We will provide with the iOS app (currently running on another model) - which is a simple app that simply loads videos and runs models on them. There is no significant mobile development outside adapting the model inputs and outputs to the right formats.

Looking a service for deep learning model creation for a microcontroller project. We have to detect multiple(digit 0-9 max 10 numbers)numbers from printed sheet in Gray scale, so it should not be varies handwriting or decorated fonts. This digit will create only regular fonts using Arial, Tahoma or Times. Only the difficulty for detection may be differ...Gray scale, so it should not be varies handwriting or decorated fonts. This digit will create only regular fonts using Arial, Tahoma or Times. Only the difficulty for detection may be different Gary values (0-240) and incomplete printing. Want make such 10 class in a model file with localisation (need to detect bounding border for multiple digit in single image)which can use Keras (.h5, .hdf5), TFLite, ONNX format with below 2Mb...

is looking for an expert web developer to build an embeddable WebGL component and custom landing page that leverages markerless feature tracking and WebGL to deliver an interactive 3D experience in real time. [ required experience ] * WebGL site development experience * Experience with with real time markerless feature detection and related libraries (PoseNet, MediaPipe, ) * Source control experience is a must (GITHUB preferred) [ skills ] * Ability to communicate clearly * Attention to details * Easily legible coding and documentation style

Can you help me, I am trying to save two models (Encoder-Decoder) as TFlite format, that are similar to the code at this Link. But I can't save them

i have a videos and i want to processed it using tensor flow lite for tpu this pic is example