From 6e02a2552457f150236469788d48eedf39d0311f Mon Sep 17 00:00:00 2001 From: shaokai Date: Tue, 22 Aug 2023 13:07:10 +0200 Subject: [PATCH] Fixed rodent scale to 0 to 100 (#24) --- figures/Figure2_new.ipynb | 108 ++++++++++++++++++++------------------ 1 file changed, 56 insertions(+), 52 deletions(-) diff --git a/figures/Figure2_new.ipynb b/figures/Figure2_new.ipynb index db04639..02e7181 100644 --- a/figures/Figure2_new.ipynb +++ b/figures/Figure2_new.ipynb @@ -17,7 +17,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "3b0fff60", "metadata": {}, "outputs": [], @@ -731,7 +731,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "id": "9856d786", "metadata": { "scrolled": false @@ -741,69 +741,71 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mwmathis/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:52: SettingWithCopyWarning: \n", + "/var/folders/n5/5_x4w2px2wn6hc6n_9zzlygw0000gn/T/ipykernel_35446/156653028.py:54: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - "/Users/mwmathis/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:58: SettingWithCopyWarning: \n", + " df_ap10k_finetune['level_1'] = (pd.to_numeric(df_ap10k_finetune['level_1']) * dataset_size).astype(int)\n", + "/var/folders/n5/5_x4w2px2wn6hc6n_9zzlygw0000gn/T/ipykernel_35446/156653028.py:60: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n" + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_masked['level_1'] = (pd.to_numeric(df_masked['level_1']) * dataset_size).astype(int)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - " mAP\n", - "level_0 level_1 \n", - "AnimalTokenPose + SA + Zeroshot 0.01 0.361467\n", - " 0.05 0.361467\n", - " 0.10 0.361467\n", - " 0.50 0.361467\n", - " 1.00 0.361467\n", - "HRNetw32 + AP10K + Fine-tuning 0.01 0.362332\n", - " 0.05 0.412285\n", - " 0.10 0.431782\n", - " 0.50 0.433307\n", - " 1.00 0.430438\n", - "HRNetw32 + AP10K + Zeroshot 0.01 0.350980\n", - " 0.05 0.350980\n", - " 0.10 0.350980\n", - " 0.50 0.350980\n", - " 1.00 0.350980\n", - "HRNetw32 + ImageNet transfer learning 0.01 0.027713\n", - " 0.05 0.111539\n", - " 0.10 0.235448\n", - " 0.50 0.470854\n", - " 1.00 0.569948\n", - "HRNetw32 + SA + Memory Replay 0.01 0.390503\n", - " 0.05 0.451471\n", - " 0.10 0.473413\n", - " 0.50 0.527209\n", - " 1.00 0.552586\n", - "HRNetw32 + SA + Naive Fine-tuning 0.01 0.404046\n", - " 0.05 0.434614\n", - " 0.10 0.500039\n", - " 0.50 0.570013\n", - " 1.00 0.597304\n", - "HRNetw32 + SA + Randomly Initialized Decoder 0.01 0.075615\n", - " 0.05 0.098085\n", - " 0.10 0.472074\n", - " 0.50 0.624347\n", - " 1.00 0.679645\n", - "HRNetw32 + SA + Zeroshot 0.01 0.393447\n", - " 0.05 0.393447\n", - " 0.10 0.393447\n", - " 0.50 0.393447\n", - " 1.00 0.393447\n" + " mAP\n", + "level_0 level_1 \n", + "AnimalTokenPose + SA + Zeroshot 0.01 36.146725\n", + " 0.05 36.146725\n", + " 0.10 36.146725\n", + " 0.50 36.146725\n", + " 1.00 36.146725\n", + "HRNetw32 + AP10K + Fine-tuning 0.01 36.233190\n", + " 0.05 41.228545\n", + " 0.10 43.178158\n", + " 0.50 43.330690\n", + " 1.00 43.043842\n", + "HRNetw32 + AP10K + Zeroshot 0.01 35.097996\n", + " 0.05 35.097996\n", + " 0.10 35.097996\n", + " 0.50 35.097996\n", + " 1.00 35.097996\n", + "HRNetw32 + ImageNet transfer learning 0.01 2.771263\n", + " 0.05 11.153937\n", + " 0.10 23.544771\n", + " 0.50 47.085407\n", + " 1.00 56.994824\n", + "HRNetw32 + SA + Memory Replay 0.01 39.050266\n", + " 0.05 45.147054\n", + " 0.10 47.341333\n", + " 0.50 52.720924\n", + " 1.00 55.258643\n", + "HRNetw32 + SA + Naive Fine-tuning 0.01 40.404572\n", + " 0.05 43.461441\n", + " 0.10 50.003935\n", + " 0.50 57.001325\n", + " 1.00 59.730445\n", + "HRNetw32 + SA + Randomly Initialized Decoder 0.01 7.561452\n", + " 0.05 9.808487\n", + " 0.10 47.207367\n", + " 0.50 62.434668\n", + " 1.00 67.964534\n", + "HRNetw32 + SA + Zeroshot 0.01 39.344704\n", + " 0.05 39.344704\n", + " 0.10 39.344704\n", + " 0.50 39.344704\n", + " 1.00 39.344704\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -852,6 +854,8 @@ "\n", "df = df.loc[custom_order]\n", "\n", + "df = df * 100\n", + "\n", "zeroshot = df.loc['zeroshot']\n", "ap10k_zeroshot = df.loc['ap10k_zeroshot']\n", "animaltokenpose_zeroshot = df.loc['animaltokenpose_zeroshot']\n", @@ -931,7 +935,7 @@ "\n", "ax1.set_xlabel('')\n", "ax1.set_ylabel('mAP')\n", - "ax1.set_ylim(0, 1.0)\n", + "ax1.set_ylim(0, 100)\n", "\n", "sns.despine(top=True, right=True, ax=ax1)\n", "fig.supxlabel('Number of fine-tuning images', y=0.05, x=0.5125)\n", @@ -1076,9 +1080,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "mausspaun", "language": "python", - "name": "python3" + "name": "mausspaun" }, "language_info": { "codemirror_mode": { @@ -1090,7 +1094,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.9.0" } }, "nbformat": 4,