forked from SilvioGiancola/TrackingNet-devkit
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Write code for generating submission file
- Loading branch information
Showing
25 changed files
with
8,883 additions
and
19 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -4,4 +4,5 @@ TN_TEST | |
| credentials.json | ||
| token.pickle | ||
| *-temp* | ||
| TrackingNet/ | ||
| TrackingNet/ | ||
| submission_files/ | ||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,118 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 22, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import pandas as pd\n", | ||
| "import json\n", | ||
| "import pathlib\n", | ||
| "from explore_dir import explore_dir" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 4, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "cg_5uaJjLHk_0\n", | ||
| "cGwjfCPO-7k_0\n" | ||
| ] | ||
| } | ||
| ], | ||
| "source": [ | ||
| "!ls TrackingNet/results/" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 5, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "files, dirs, _ = explore_dir('TrackingNet/results/')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 7, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "text/plain": [ | ||
| "['TrackingNet/results/cGwjfCPO-7k_0', 'TrackingNet/results/cg_5uaJjLHk_0']" | ||
| ] | ||
| }, | ||
| "execution_count": 7, | ||
| "metadata": {}, | ||
| "output_type": "execute_result" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "dirs" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 23, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "save_path = 'submission_files/'\n", | ||
| "pathlib.Path(save_path).mkdir(exist_ok=True, parents=True)\n", | ||
| "\n", | ||
| "for dir_path in dirs[:1]:\n", | ||
| " dname = dir_path.split('/')[-1]\n", | ||
| " files, _, _ = explore_dir(dir_path)\n", | ||
| " results_json = None\n", | ||
| " with open(files[0]) as f:\n", | ||
| " results_json = json.load(f)\n", | ||
| " \n", | ||
| " df = pd.DataFrame(data=results_json['res'])\n", | ||
| " df.to_csv(save_path + dname + \".txt\", index=False, header=False)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.7.1" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| { | ||
| "cells": [], | ||
| "metadata": {}, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,118 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 22, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import pandas as pd\n", | ||
| "import json\n", | ||
| "import pathlib\n", | ||
| "from explore_dir import explore_dir" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 4, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "cg_5uaJjLHk_0\n", | ||
| "cGwjfCPO-7k_0\n" | ||
| ] | ||
| } | ||
| ], | ||
| "source": [ | ||
| "!ls TrackingNet/results/" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 5, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "files, dirs, _ = explore_dir('TrackingNet/results/')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 7, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "text/plain": [ | ||
| "['TrackingNet/results/cGwjfCPO-7k_0', 'TrackingNet/results/cg_5uaJjLHk_0']" | ||
| ] | ||
| }, | ||
| "execution_count": 7, | ||
| "metadata": {}, | ||
| "output_type": "execute_result" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "dirs" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 23, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "save_path = 'submission_files/'\n", | ||
| "pathlib.Path(save_path).mkdir(exist_ok=True, parents=True)\n", | ||
| "\n", | ||
| "for dir_path in dirs[:1]:\n", | ||
| " dname = dir_path.split('/')[-1]\n", | ||
| " files, _, _ = explore_dir(dir_path)\n", | ||
| " results_json = None\n", | ||
| " with open(files[0]) as f:\n", | ||
| " results_json = json.load(f)\n", | ||
| " \n", | ||
| " df = pd.DataFrame(data=results_json['res'])\n", | ||
| " df.to_csv(save_path + dname + \".txt\", index=False, header=False)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.7.1" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,94 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 1, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import pandas as pd" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 2, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "anno_path = './csv_link/TRAIN_0_ANNO.csv'\n", | ||
| "zips_path = './csv_link/TRAIN_0_ZIPS.csv'" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 3, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "anno_df = pd.read_csv(anno_path)\n", | ||
| "zips_df = pd.read_csv(zips_path)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 6, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "anno_df['id'] = anno_df['name'].str.replace('.txt', '')\n", | ||
| "zips_df['id'] = zips_df['name'].str.replace('.zip', '')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 9, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "combined_df = anno_df.merge(zips_df, on='id')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 15, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "count = 10\n", | ||
| "anno_short_df = anno_df[anno_df['name'].isin(combined_df['name_x'][:count])][['name', 'link']]\n", | ||
| "zips_short_df = zips_df[zips_df['name'].isin(combined_df['name_y'][:count])][['name', 'link']]" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 18, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "anno_short_df.to_csv('./csv_link_short/TRAIN_0_ANNO.csv', index=False)\n", | ||
| "zips_short_df.to_csv('./csv_link_short/TRAIN_0_ZIPS.csv', index=False)" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.7.1" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
Oops, something went wrong.