fast-reid/vis_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from fastai.vision import *\n",
    "\n",
    "from engine.interpreter import ReidInterpretation\n",
    "\n",
    "from data import get_data_bunch\n",
    "from modeling import build_model\n",
    "from config import cfg\n",
    "cfg.DATASETS.NAMES = ('market1501',)\n",
    "cfg.DATASETS.TEST_NAMES = 'market1501'\n",
    "cfg.MODEL.BACKBONE = 'resnet50'\n",
    "\n",
    "data_bunch, test_labels, num_query = get_data_bunch(cfg)\n",
    "\n",
    "model = build_model(cfg, 10)\n",
    "model.load_params_wo_fc(torch.load('logs/2019.8.14/market/baseline/models/model_149.pth')['model'])\n",
    "learn = Learner(data_bunch, model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.basic_data import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "reidInterpreter = ReidInterpretation(learn, test_labels, num_query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "reidInterpreter.plot_top_error(20, False)"
   ]
  }
 ],
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