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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "cd7ca034-54d2-434d-9ba8-9e1877e7a7c9",
"metadata": {},
"outputs": [],
"source": [
"!unzip -q '/workspace/EfficientAT-main.zip' -d './train'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "2f674532-597d-4471-aef8-53c6f2b3ce7f",
"metadata": {},
"outputs": [],
"source": [
"!unzip -q '/workspace/HDF5_file.zip' -d '/workspace/train/EfficientAT-main/datasets'"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c7595bbe-a43b-4e08-a7de-1e27206a782b",
"metadata": {},
"outputs": [],
"source": [
"#Please change the dataset_config (filename hdf5) in \"audioset.py\" or \"emotion_dataset.py\" in \"EfficientAT-main/datasets\" "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "7dd14b84-3451-423f-bc07-16fddddc2a07",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting av (from -r /workspace/train/EfficientAT-main/requirements.txt (line 1))\n",
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" Uninstalling typing_extensions-4.4.0:\n",
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"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython -m pip install --upgrade pip\u001b[0m\n"
]
}
],
"source": [
"!pip install -r /workspace/train/EfficientAT-main/requirements.txt"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "5a7a42e9-3f79-4f63-a6ea-98db2206ca96",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/workspace/train/EfficientAT-main\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.10/dist-packages/IPython/core/magics/osm.py:417: UserWarning: using dhist requires you to install the `pickleshare` library.\n",
" self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n"
]
}
],
"source": [
"%cd /workspace/train/EfficientAT-main"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d0abf14b-46a1-4f92-9f70-e0de40dff46a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 9/200: 100%|███████████| 145/145 [01:00<00:00, 2.38it/s, train_loss=1.09]\n",
"Validating: 100%|███████████████████████████████| 37/37 [00:08<00:00, 4.14it/s]\n",
"Confusion Matrix:\n",
"[[ 189 1 0 539 540 11 0]\n",
" [ 2 13 0 129 711 27 0]\n",
" [ 1 0 7 86 297 31 0]\n",
" [ 4 0 0 1111 699 7 0]\n",
" [ 1 0 0 67 2995 2 0]\n",
" [ 4 0 0 257 982 218 0]\n",
" [ 4 0 0 53 269 4 0]]\n",
"Epoch 9/200, Train Loss: 1.0852, Validation Loss: 1.8843, Validation Accuracy: 0.4895, LR: 0.001000, Time: 69.80s\n",
"Epoch 10/200: 0%| | 0/145 [00:00<?, ?it/s]Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Setting temperature for attention over kernels to 21.0\n",
"Epoch 10/200: 100%|██████████| 145/145 [01:00<00:00, 2.38it/s, train_loss=1.05]\n",
"Validating: 100%|███████████████████████████████| 37/37 [00:08<00:00, 4.16it/s]\n",
"Confusion Matrix:\n",
"[[ 177 1 0 697 377 28 0]\n",
" [ 2 176 0 130 553 21 0]\n",
" [ 8 0 4 65 271 74 0]\n",
" [ 3 1 0 1031 740 46 0]\n",
" [ 10 0 0 63 2985 7 0]\n",
" [ 18 0 0 171 883 389 0]\n",
" [ 11 10 0 86 216 6 1]]\n",
"Epoch 10/200, Train Loss: 1.0541, Validation Loss: 1.9365, Validation Accuracy: 0.5143, LR: 0.001000, Time: 69.76s\n",
"Epoch 11/200: 0%| | 0/145 [00:00<?, ?it/s]Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Setting temperature for attention over kernels to 20.0\n",
"Epoch 11/200: 1%|▏ | 2/145 [00:03<03:30, 1.47s/it, train_loss=2.47]"
]
}
],
"source": [
"!python ex_train_audio_classification_mode.py --cuda --train --pretrained --n_epochs=200 --model_name=dymn04_im --batch_size=256 --max_lr=0.001 --pretrain_final_temp=30 --adamw"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "d3b0a027-1774-4725-9e29-0112001369fe",
"metadata": {},
"outputs": [],
"source": [
"!rm -rf '/workspace/train/EfficientAT-main/training_results_dymn04_im_20250816_072418'"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fe6df804-8e48-41fc-9dab-5c409d591379",
"metadata": {},
"outputs": [],
"source": [
"!python inference_classification.py --cuda --pre_trained_model_path='/workspace/main/EfficientAT-main/output_model/best_checkpoint/dymn04_im04_acc_0.8923.pt' --audio_path=\"/workspace/main/EfficientAT-main/03-01-01-01-02-01-24.mp3\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3c8074fe-eedf-4cf6-8ab3-1815e733e6b9",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import shutil\n",
"\n",
"# Mount Google Drive nếu cần\n",
"\n",
"# Đường dẫn tới thư mục cần zip\n",
"folder_to_zip = '/workspace/main/EfficientAT-main'\n",
"output_zip = '/workspace/main/EfficientAT-main.zip'\n",
"\n",
"# Tạo file zip\n",
"shutil.make_archive(output_zip.replace('.zip', ''), 'zip', folder_to_zip)\n",
"\n",
"print(f'Thư mục đã được nén thành công thành file zip: {output_zip}')\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "3c819525-cde6-4c3b-a24d-0bfb5e5c2b01",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f3edf2d9-07d7-4472-86ec-81b800dcecbd",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|