convert_pth.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "f = torch.load('/home/serg_t/Documents/mmdetection/trained_models/faster_rcnn_r101_fpn_1x_20181129-d1468807.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['meta', 'state_dict'])"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['mmdet_version', 'config', 'epoch', 'iter', 'mmcv_version', 'time'])"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f['meta'].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "f['meta']['config'];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "f['state_dict'].keys();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Change number of classes in static_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bbox_head.fc_cls.weight\n",
      "torch.Size([2, 1024])\n",
      "bbox_head.fc_cls.bias\n",
      "torch.Size([2])\n",
      "bbox_head.fc_reg.weight\n",
      "torch.Size([8, 1024])\n",
      "bbox_head.fc_reg.bias\n",
      "torch.Size([8])\n"
     ]
    }
   ],
   "source": [
    "index_of_traffic_light = 10\n",
    "num_of_cls = 81\n",
    "for key in f['state_dict'].keys():\n",
    "    dim = list(f['state_dict'][key].shape)\n",
    "    if not dim == []:\n",
    "        if dim[0] % num_of_cls == 0:\n",
    "            print(key)\n",
    "            bg = f['state_dict'][key].tolist()[0:(dim[0] // num_of_cls)]\n",
    "            tl = f['state_dict'][key].tolist()[index_of_traffic_light *  4:(index_of_traffic_light * 4 + dim[0] // num_of_cls)]\n",
    "            f['state_dict'][key] = torch.tensor(bg +  tl)\n",
    "            print(f['state_dict'][key].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Change number of classes in meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "f['meta']['config'] = f['meta']['config'].replace(\"81\", \"2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Add my own classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "f['meta']['CLASSES'] = 'traffic_light'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['mmdet_version', 'config', 'epoch', 'iter', 'mmcv_version', 'time', 'CLASSES'])"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f['meta'].keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save .pth file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(f, '/home/serg_t/Documents/mmdetection/trained_models/faster_rcnn_r101_fpn_1x_20181129-d1468807_tl_only.pth')\n",
    "f_tl = torch.load('/home/serg_t/Documents/mmdetection/trained_models/faster_rcnn_r101_fpn_1x_20181129-d1468807_tl_only.pth')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [],
   "source": [
    "f_tl['meta']['config'];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([64, 3, 7, 7])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([64, 64, 1, 1])\n",
      "torch.Size([64, 64, 3, 3])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([256, 64, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256, 64, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([64, 256, 1, 1])\n",
      "torch.Size([64, 64, 3, 3])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([256, 64, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([64, 256, 1, 1])\n",
      "torch.Size([64, 64, 3, 3])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([64])\n",
      "torch.Size([])\n",
      "torch.Size([256, 64, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([128, 256, 1, 1])\n",
      "torch.Size([128, 128, 3, 3])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([])\n",
      "torch.Size([512, 128, 1, 1])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([512, 256, 1, 1])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([128, 512, 1, 1])\n",
      "torch.Size([128, 128, 3, 3])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
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      "torch.Size([128])\n",
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      "torch.Size([])\n",
      "torch.Size([512, 128, 1, 1])\n",
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      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([128, 512, 1, 1])\n",
      "torch.Size([128, 128, 3, 3])\n",
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      "torch.Size([128])\n",
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      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([])\n",
      "torch.Size([512, 128, 1, 1])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([128, 512, 1, 1])\n",
      "torch.Size([128, 128, 3, 3])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
      "torch.Size([128])\n",
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      "torch.Size([128])\n",
      "torch.Size([])\n",
      "torch.Size([512, 128, 1, 1])\n",
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      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([256, 512, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
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      "torch.Size([1024, 256, 1, 1])\n",
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      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 512, 1, 1])\n",
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      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
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      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
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      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
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      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([256])\n",
      "torch.Size([])\n",
      "torch.Size([1024, 256, 1, 1])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024])\n",
      "torch.Size([])\n",
      "torch.Size([512, 1024, 1, 1])\n",
      "torch.Size([512, 512, 3, 3])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([2048, 512, 1, 1])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([])\n",
      "torch.Size([2048, 1024, 1, 1])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([])\n",
      "torch.Size([512, 2048, 1, 1])\n",
      "torch.Size([512, 512, 3, 3])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([2048, 512, 1, 1])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([])\n",
      "torch.Size([512, 2048, 1, 1])\n",
      "torch.Size([512, 512, 3, 3])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([512])\n",
      "torch.Size([])\n",
      "torch.Size([2048, 512, 1, 1])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([2048])\n",
      "torch.Size([])\n",
      "torch.Size([256, 256, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 512, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 1024, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 2048, 1, 1])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([256, 256, 3, 3])\n",
      "torch.Size([256])\n",
      "torch.Size([3, 256, 1, 1])\n",
      "torch.Size([3])\n",
      "torch.Size([12, 256, 1, 1])\n",
      "torch.Size([12])\n",
      "torch.Size([2, 1024])\n",
      "torch.Size([2])\n",
      "torch.Size([8, 1024])\n",
      "torch.Size([8])\n",
      "torch.Size([1024, 12544])\n",
      "torch.Size([1024])\n",
      "torch.Size([1024, 1024])\n",
      "torch.Size([1024])\n"
     ]
    }
   ],
   "source": [
    "for key in f_tl['state_dict'].keys():\n",
    "    print(f_tl['state_dict'][key].shape);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'traffic_light'"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_trained = torch.load('/home/serg_t/Documents/mmdetection/cascade_rcnn_predtrained/epoch_12.pth')\n",
    "my_trained['meta']['CLASSES']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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