fig_utils/trimtail_accs_headtail.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import torch\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_metrics(paths):\n",
    "    metrics, ntails = [], []\n",
    "    for path in paths:\n",
    "        if os.path.exists(path):\n",
    "            metrics.append(torch.load(path, map_location='cpu'))\n",
    "            ntails.append(int(re.findall(r'fstail\\d+', path)[0].replace('fstail', '')))\n",
    "    return metrics, ntails\n",
    "\n",
    "def get_head_tail_metrics(metrics, idxs, ntails, key='per_class_accs'):\n",
    "    sorted_metrics = [np.array(metric[key])[idxs] for metric in metrics]\n",
    "    head_metrics = [metric[:-ntail].mean() for metric, ntail in zip(sorted_metrics, ntails)]\n",
    "    tail_metrics = [metric[-ntail:].mean() for metric, ntail in zip(sorted_metrics, ntails)]\n",
    "    return head_metrics, tail_metrics\n",
    "\n",
    "freqs = pd.read_csv('../metadata/freqs/class_frequency_incap_imagenet_ori.txt', sep='\\t', header=None, names=['class', 'freq'])['freq'].tolist()\n",
    "idxs = np.argsort(freqs)[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x350 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "paths_to_plot = {\n",
    "    'Sup (from scratch)':[\n",
    "        ['../exps_sup/output/rn50_incap_supcls_bs256_fstail5ceil1/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail20ceil1/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail50ceil1/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail100ceil1/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail200ceil1/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail500ceil1/metrics/metrics_val_latest.pt',\n",
    "        ],\n",
    "        ['../exps_sup/output/rn50_incap_supcls_bs256_fstail5ceil0/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail20ceil0/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail50ceil0/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail100ceil0/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail200ceil0/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail500ceil0/metrics/metrics_val_latest.pt',\n",
    "        ]\n",
    "    ],\n",
    "    'Sup (frozen head)':[\n",
    "        ['../exps_sup/output/rn50_incap_supcls_bs256_fstail5ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail20ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail50ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail100ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail200ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail500ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        ],\n",
    "        ['../exps_sup/output/rn50_incap_supcls_bs256_fstail5ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail20ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail50ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail100ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail200ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs256_fstail500ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname/metrics/metrics_val_latest.pt',\n",
    "        ]\n",
    "    ],\n",
    "    'Sup (frozen head + sample)':[\n",
    "        ['../exps_sup/output/rn50_incap_supcls_bs1024_fstail5ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail20ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail50ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail100ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail200ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead_rerunn/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail500ceil1_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        ],\n",
    "        ['../exps_sup/output/rn50_incap_supcls_bs1024_fstail5ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail20ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail50ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail100ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail200ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead_rerun/metrics/metrics_val_latest.pt',\n",
    "        '../exps_sup/output/rn50_incap_supcls_bs1024_fstail500ceil0_freezehead_in1k_clip_rn50_wit400m_a+cname_samplehead/metrics/metrics_val_latest.pt',\n",
    "        ]\n",
    "    ],\n",
    "    'CLIP (from scratch)':[\n",
    "        ['../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail5ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail20ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail50ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail100ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail200ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail500ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        ],\n",
    "        ['../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail5ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail20ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail50ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail100ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail200ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-fstail500ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        ]\n",
    "    ],\n",
    "    'CLIP (frozen text)':[\n",
    "        ['../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail5ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail20ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail50ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail100ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail200ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail500ceil1/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        ],\n",
    "        ['../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail5ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail20ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail50ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail100ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail200ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        '../exps_clip/logs/RN50-lr_0.001-b_1024-e_32-p_amp-freezetext_clip_wit400m-fstail500ceil0/metrics/metrics_imagenet_zeroshot_val_latest.pt',\n",
    "        ]\n",
    "    ]\n",
    "}\n",
    "\n",
    "ntails_all = [5, 20, 50, 100, 200, 500]\n",
    "figtitles = ['Train w/ 1-shot tail', 'Train w/ 0-shot tail']\n",
    "acc_types = ['Head & mid', 'Tail']\n",
    "style_order = ['Frozen CLIP head', 'Random init head']\n",
    "hue_order = ['CLIP', 'SL']\n",
    "markers = ['o', 'X']\n",
    "palette = sns.color_palette('tab20c')\n",
    "palette = [palette[-3], palette[8], palette[0], palette[-3], palette[8]]\n",
    "\n",
    "fig, ax = plt.subplots(1, len(figtitles)*len(acc_types), sharey=True, figsize=(13, 3.5))\n",
    "for i in range(len(figtitles)):\n",
    "    dict_for_df = {'ntails':[], 'accs':[], 'Split':[], 'Method':[], 'Model':[], 'Text Head':[]}\n",
    "    for model_idx, (label, paths) in enumerate(paths_to_plot.items()):\n",
    "        if label.startswith('CLIP'):\n",
    "            model_idx += 6\n",
    "\n",
    "        metrics, ntails = get_metrics(paths[i])\n",
    "        head_accs, tail_accs = get_head_tail_metrics(metrics, idxs, ntails)\n",
    "        dict_for_df['accs'].extend(head_accs + tail_accs)\n",
    "        dict_for_df['ntails'].extend(ntails + ntails)\n",
    "        dict_for_df['Split'].extend(['Head & mid']*len(ntails) + ['Tail']*len(ntails))\n",
    "        dict_for_df['Method'].extend(['CLIP (frozen head)' if label.startswith('CLIP') and 'frozen' in label else 'CLIP (rand init)' if label.startswith('CLIP') else \\\n",
    "                                      'SL (sub voc.)' if 'sample' in label else 'SL (rand init)' if 'scratch' in label else 'SL (frozen head)']*len(ntails)*2)\n",
    "        dict_for_df['Model'].extend(['CLIP' if label.startswith('CLIP') else 'SL']*len(ntails)*2)\n",
    "        dict_for_df['Text Head'].extend(['Random init head' if 'from scratch' in label else 'Frozen CLIP head']*len(ntails)*2)\n",
    "    \n",
    "    df = pd.DataFrame(dict_for_df)\n",
    "    df['accs'] *= 100\n",
    "    for j, acc_type in enumerate(acc_types):\n",
    "        ax[2*i+j].set_title(figtitles[i], fontsize=13)\n",
    "        sns.lineplot(data=df[df['Split'] == acc_type], y='ntails', x='accs', hue='Method', style='Text Head', ax=ax[2*i+j], errorbar=None, markers=False, dashes=True, linewidth=2,\n",
    "                     legend='brief', palette=palette, style_order=style_order, orient='y')\n",
    "        sns.lineplot(data=df[(df['Split'] == acc_type) & (df['Text Head'] == 'Frozen CLIP head')], y='ntails', x='accs', lw=0, hue='Method', style='Model', dashes=False, ax=ax[2*i+j], style_order=hue_order, markers=markers, markersize=8,\n",
    "                     legend='brief', palette=[palette[1], palette[2], palette[4]], orient='y', errorbar=None)\n",
    "        sns.lineplot(data=df[(df['Split'] == acc_type) & (df['Text Head'] == 'Random init head')], y='ntails', x='accs', lw=0, hue='Method', style='Model', dashes=False, ax=ax[2*i+j], style_order=hue_order, markers=markers, markersize=8,\n",
    "                     legend='brief', palette=[palette[0], palette[3]], orient='y', errorbar=None)\n",
    "        ax[2*i+j].set_yscale('log')\n",
    "        ax[2*i+j].set_yticks(ntails_all)\n",
    "        ax[2*i+j].set_yticklabels(ntails_all)\n",
    "        ax[2*i+j].spines['top'].set_visible(False)\n",
    "        ax[2*i+j].spines['right'].set_visible(False)\n",
    "        ax[2*i+j].xaxis.grid(color='gray', linestyle='-', linewidth=1, alpha=0.3)\n",
    "\n",
    "        ax[2*i+j].set_xlabel('Avg head & mid acc (top-1, %)' if acc_type == 'Head & mid' else 'Avg tail acc (top-1, %)', fontsize=12)\n",
    "        ax[2*i+j].set_ylabel('Number of tail classes', fontsize=13)\n",
    "        ax[2*i+j].xaxis.set_tick_params(labelleft=True)\n",
    "        ax[2*i+j].yaxis.set_tick_params(labelbottom=True)\n",
    "\n",
    "ax[0].text(-.1, 1.02, 'a', fontsize=14, fontweight='bold', transform=ax[0].transAxes)\n",
    "ax[1].text(-.1, 1.02, 'b', fontsize=14, fontweight='bold', transform=ax[1].transAxes)\n",
    "ax[2].text(-.1, 1.02, 'c', fontsize=14, fontweight='bold', transform=ax[2].transAxes)\n",
    "ax[3].text(-.1, 1.02, 'd', fontsize=14, fontweight='bold', transform=ax[3].transAxes)\n",
    "\n",
    "# remove legend from subplot\n",
    "ax[0].legend().remove()\n",
    "ax[1].legend().remove()\n",
    "ax[2].legend().remove()\n",
    "# placeholder\n",
    "l = matplotlib.lines.Line2D([], [], color=\"none\")\n",
    "# deduplicate legend\n",
    "handles, labels = ax[3].get_legend_handles_labels()\n",
    "handles, labels = handles[-2:] + [handles[8]] + handles[2:4], labels[-2:] + [labels[8]] + ['Frozen CLIP head', 'Frozen CLIP head + sub voc. (SL)']\n",
    "plt.legend(handles, labels, loc='upper left', bbox_to_anchor=(-3.4, 1.22), ncol=7, frameon=False, fontsize=10)\n",
    "plt.savefig('figs/headtail_accs.pdf', bbox_inches='tight', dpi=300)"
   ]
  }
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