File size: 3,353 Bytes
b5beb60 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 2788/2788 [00:09<00:00, 286.38it/s]\n"
]
}
],
"source": [
"import os\n",
"import json\n",
"save_dir = \"/user/konglingyu/VLMEvalKit/public_eval/dr_800_emma/EMMA_train_prompt_sampling/20250424\"\n",
"data = {}\n",
"for i in range(8):\n",
" assert os.path.exists(f\"{save_dir}/results_{i}.json\")\n",
" data.update(json.load(open(f\"{save_dir}/results_{i}.json\", \"r\")))\n",
"assert len(data) == 2788\n",
"with open(f\"{save_dir}/results.json\", \"w\") as f:\n",
" json.dump(data, f, indent=4)\n",
"from EMMA.evaluation.evaluate import gen_true_false\n",
"from EMMA.evaluation.calculate_acc import gen_score\n",
"gen_true_false(f\"{save_dir}/results.json\")\n",
"gen_score(f\"{save_dir}/results.json\", f\"{save_dir}/results_acc.json\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Looking in indexes: https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple, https://pypi.ngc.nvidia.com\n",
"Collecting word2number\n",
" Downloading https://mirrors.tuna.tsinghua.edu.cn/pypi/web/packages/4a/29/a31940c848521f0725f0df6b25dca8917f13a2025b0e8fcbe5d0457e45e6/word2number-1.1.zip (9.7 kB)\n",
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25hBuilding wheels for collected packages: word2number\n",
" Building wheel for word2number (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5625 sha256=10743444572815e697e0ed1faa83d7468f568bad5e9f9683d681fd6de2a964cd\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-q98517p9/wheels/99/3a/6c/d8c11ef6bc6ecfba03cda750ca0ed469689c0494af888bc94b\n",
"Successfully built word2number\n",
"Installing collected packages: word2number\n",
"Successfully installed word2number-1.1\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
"\u001b[0m\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n",
"\u001b[0m^C\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"%pip install word2number -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
]
}
],
"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": "3.12.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|