Sep 24, 2021 · For the models from Object Detection APIs to work well with TFLite, you have to convert it to TFLite-friendly graph that has custom op. https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_mobile_tf2.md. You can also try using TensorFlow Lite Model Maker

Feb 13, 2025 · This notebook uses the TensorFlow 2 Object Detection API to train an SSD-MobileNet model or EfficientDet model with a custom dataset and convert it to TensorFlow Lite format. By working...

Nov 30, 2019 · If you’d like try using the sample TFLite object detection model provided by Google, simply download it here and unzip it into the \object_detection folder. Then, use --modeldir=coco_ssd_mobilenet_v1_1.0_quant_2018_06_29 rather than --modeldir=TFLite_model when running the script.

Jan 19, 2023 · This wiki explains how to convert Tensorflow Object Detection SSD models to TFLite format. Model Zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md. These instructions use python3 and pip3. install tensorflow using pip3. Install tensorflow Object Detection models as described below.

Apr 27, 2018 · I want to use the SSD network to detect these objects on images. I also want to do it on mobile devices, so I need the final model to be compatible with TF Mobile/Lite. The question is: where should I start from? I know that SSD is supported by TF Mobile/Lite (see https://github.com/tensorflow/tensorflow/issues/15633 for example).

Jan 1, 2024 · An app made with Flutter and TensorFlow Lite for realtime object detection using model YOLO, SSD, MobileNet, PoseNet. ⭐ Features Realtime object detection on the live camera

This document walks you through converting a Tensorflow Object Detection API model to Tensorflow Lite. NOTE: TFLite currently only fully supports SSD Architectures (excluding EfficientDet) for boxes-based detection.

Convert yout images and annotations to tfrecord by models datatool api. Commands: cd models/research/ export PYTHONPATH=$PYTHONPATH:path to /models/research/:path to/models/research/slim. protoc object_detection/protos/*.proto --python_out=.

Jul 19, 2024 · You’ve just built an object detection application using TensorFlow Lite and Flutter. This guide covered everything from setting up your environment to deploying your model on a mobile device.

Apr 16, 2025 · from edgetpu.detection.engine import DetectionEngine: MODEL_NAME = "mobilenet_ssd_v2_coco_quant_postprocess_edgetpu.tflite" def cv2pil(image_cv): image_cv = cv2.cvtColor(image_cv, cv2.COLOR_BGR2RGB) image_pil = Image.fromarray(image_cv) image_pil = image_pil.convert('RGB') return image_pil: label2string = \ {0: …