Prediction from pkl file

chaitanya.pvk · July 14, 2020, 9:48am

I am following the below example for understanding localization concept for lung images taken from “RSNA Pneumonia Detection Challenge”.

github.com

yindavidyang/chestxray/blob/master/RSNA Kaggle pneumonia detection challenge second attempt/fastai_det_second_model.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision import *\n",
    "\n",
    "from object_detection_fastai.helper.object_detection_helper import *\n",
    "from object_detection_fastai.loss.RetinaNetFocalLoss import RetinaNetFocalLoss\n",
    "from object_detection_fastai.models.RetinaNet import RetinaNet\n",
    "from object_detection_fastai.callbacks.callbacks import PascalVOCMetric\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {

This file has been truncated. show original

The above mentioned explains only till model creation. I would like to if there are any further pointers for checking predictions on a single image.