From Tensorflow Object Detection API, I have noticed that TFLite_Detection_PostProcess has cut off the original outputs from Tensorflow Object Detection model
PLEASE NOTE: I have tried other solutions accross the web and didnt find the working result. I am detecting objects from live feed using tensorflow object detec
I am following this tutorial to train my own models. https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/ I followed all the steps exactly
I'm trying to reproduce the officially reported mAP of EfficientDet D3 in the Object Detection API by training on COCO using a pretrained EfficientNet backbone.
It's a silly question but I've been struggling with it for way too long now.. I'm using the object detection API from tensorflow. when I run my script as below
I try to import the deep_srort module in my colab. But it shows me the following: --------------------------------------------------------------------------- Mo
I have used the pretrained ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8 for real time object detection. The default input dimension is 320 x 320 for the model.
I am trying to train a mask rcnn model using the tensorflow object detection api. I am using custom dataset which is grey scale CT scan images of Lung of pati