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   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
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     "text": [
      "/home/santiago/Software/bat_detectors/batdetect2/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "from pathlib import Path\n",
    "from typing import List\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pytest\n",
    "from batdetect2.compat.data import load_annotation_project\n",
    "from batdetect2.compat.params import get_training_preprocessing_config\n",
    "from batdetect2.train.preprocess import generate_train_example"
   ]
  },
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   "source": [
    "regression_dir = Path(\"../tests/data/regression/\")\n",
    "example_audio_dir = Path(\"../example_data/audio/\")\n",
    "example_audio_files = list(example_audio_dir.glob(\"*.wav\"))\n",
    "example_anns_dir = Path(\"../example_data/anns/\")\n",
    "\n",
    "audio_file = example_audio_files[0]\n",
    "example_file = regression_dir / f\"{audio_file.name}.npz\"\n",
    "\n",
    "dataset = np.load(example_file)\n",
    "\n",
    "spec = dataset[\"spec\"][0]\n",
    "detection_mask = dataset[\"detection_mask\"][0]\n",
    "size_mask = dataset[\"size_mask\"]\n",
    "class_mask = dataset[\"class_mask\"]\n",
    "\n",
    "project = load_annotation_project(\n",
    "    example_anns_dir,\n",
    "    audio_dir=example_audio_dir,\n",
    ")\n",
    "\n",
    "clip_annotation = next(\n",
    "    ann for ann in project.clip_annotations if ann.clip.recording.path == audio_file\n",
    ")"
   ]
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     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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    "clip_annotation.clip.duration"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "old_parameters = json.loads((regression_dir / \"params.json\").read_text())\n",
    "config = get_training_preprocessing_config(old_parameters)"
   ]
  },
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       "SpecSizeConfig(height=256, resize_factor=0.5, divide_factor=32)"
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    "new_dataset = generate_train_example(clip_annotation, config)\n",
    "new_spec = new_dataset[\"spectrogram\"].values\n",
    "new_detection_mask = new_dataset[\"detection\"].values\n",
    "new_size_mask = new_dataset[\"size\"].values\n",
    "new_class_mask = new_dataset[\"class\"].values"
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       "(128, 512)"
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       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;category&#x27; (category: 17)&gt; Size: 2kB\n",
       "array([&#x27;Barbastellus barbastellus&#x27;, &#x27;Eptesicus serotinus&#x27;, &#x27;Myotis alcathoe&#x27;,\n",
       "       &#x27;Myotis bechsteinii&#x27;, &#x27;Myotis brandtii&#x27;, &#x27;Myotis daubentonii&#x27;,\n",
       "       &#x27;Myotis mystacinus&#x27;, &#x27;Myotis nattereri&#x27;, &#x27;Nyctalus leisleri&#x27;,\n",
       "       &#x27;Nyctalus noctula&#x27;, &#x27;Pipistrellus nathusii&#x27;,\n",
       "       &#x27;Pipistrellus pipistrellus&#x27;, &#x27;Pipistrellus pygmaeus&#x27;,\n",
       "       &#x27;Plecotus auritus&#x27;, &#x27;Plecotus austriacus&#x27;, &#x27;Rhinolophus ferrumequinum&#x27;,\n",
       "       &#x27;Rhinolophus hipposideros&#x27;], dtype=&#x27;&lt;U25&#x27;)\n",
       "Coordinates:\n",
       "    channel   int64 8B 0\n",
       "  * category  (category) &lt;U25 2kB &#x27;Barbastellus barbastellus&#x27; ... &#x27;Rhinolophu...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'category'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>category</span>: 17</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4584fd8c-7638-4bce-b685-b4235bc7f62c' class='xr-array-in' type='checkbox' checked><label for='section-4584fd8c-7638-4bce-b685-b4235bc7f62c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;Barbastellus barbastellus&#x27; ... &#x27;Rhinolophus hipposideros&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;Barbastellus barbastellus&#x27;, &#x27;Eptesicus serotinus&#x27;, &#x27;Myotis alcathoe&#x27;,\n",
       "       &#x27;Myotis bechsteinii&#x27;, &#x27;Myotis brandtii&#x27;, &#x27;Myotis daubentonii&#x27;,\n",
       "       &#x27;Myotis mystacinus&#x27;, &#x27;Myotis nattereri&#x27;, &#x27;Nyctalus leisleri&#x27;,\n",
       "       &#x27;Nyctalus noctula&#x27;, &#x27;Pipistrellus nathusii&#x27;,\n",
       "       &#x27;Pipistrellus pipistrellus&#x27;, &#x27;Pipistrellus pygmaeus&#x27;,\n",
       "       &#x27;Plecotus auritus&#x27;, &#x27;Plecotus austriacus&#x27;, &#x27;Rhinolophus ferrumequinum&#x27;,\n",
       "       &#x27;Rhinolophus hipposideros&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-0739d6e9-b7c5-4cbf-8e90-7a6bb6305179' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0739d6e9-b7c5-4cbf-8e90-7a6bb6305179' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>channel</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1e5f4451-3c23-42bb-aca2-3cff3ae2e120' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e5f4451-3c23-42bb-aca2-3cff3ae2e120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-551eaab7-2856-4611-90a8-095ed76395d8' class='xr-var-data-in' type='checkbox'><label for='data-551eaab7-2856-4611-90a8-095ed76395d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>category</span></div><div class='xr-var-dims'>(category)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;Barbastellus barbastellus&#x27; ... ...</div><input id='attrs-c2df1824-fc6a-44dc-b89f-2067b601b86c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2df1824-fc6a-44dc-b89f-2067b601b86c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6aa65d1-f02c-4c99-a218-c7d32b900c85' class='xr-var-data-in' type='checkbox'><label for='data-c6aa65d1-f02c-4c99-a218-c7d32b900c85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Barbastellus barbastellus&#x27;, &#x27;Eptesicus serotinus&#x27;, &#x27;Myotis alcathoe&#x27;,\n",
       "       &#x27;Myotis bechsteinii&#x27;, &#x27;Myotis brandtii&#x27;, &#x27;Myotis daubentonii&#x27;,\n",
       "       &#x27;Myotis mystacinus&#x27;, &#x27;Myotis nattereri&#x27;, &#x27;Nyctalus leisleri&#x27;,\n",
       "       &#x27;Nyctalus noctula&#x27;, &#x27;Pipistrellus nathusii&#x27;,\n",
       "       &#x27;Pipistrellus pipistrellus&#x27;, &#x27;Pipistrellus pygmaeus&#x27;,\n",
       "       &#x27;Plecotus auritus&#x27;, &#x27;Plecotus austriacus&#x27;, &#x27;Rhinolophus ferrumequinum&#x27;,\n",
       "       &#x27;Rhinolophus hipposideros&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-323c9084-4ecd-4c40-85ab-f5bb293a4037' class='xr-section-summary-in' type='checkbox'  ><label for='section-323c9084-4ecd-4c40-85ab-f5bb293a4037' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>category</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da568e1b-56c9-4c81-abee-085c7ab690fb' class='xr-index-data-in' type='checkbox'/><label for='index-da568e1b-56c9-4c81-abee-085c7ab690fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Barbastellus barbastellus&#x27;, &#x27;Eptesicus serotinus&#x27;, &#x27;Myotis alcathoe&#x27;,\n",
       "       &#x27;Myotis bechsteinii&#x27;, &#x27;Myotis brandtii&#x27;, &#x27;Myotis daubentonii&#x27;,\n",
       "       &#x27;Myotis mystacinus&#x27;, &#x27;Myotis nattereri&#x27;, &#x27;Nyctalus leisleri&#x27;,\n",
       "       &#x27;Nyctalus noctula&#x27;, &#x27;Pipistrellus nathusii&#x27;,\n",
       "       &#x27;Pipistrellus pipistrellus&#x27;, &#x27;Pipistrellus pygmaeus&#x27;,\n",
       "       &#x27;Plecotus auritus&#x27;, &#x27;Plecotus austriacus&#x27;, &#x27;Rhinolophus ferrumequinum&#x27;,\n",
       "       &#x27;Rhinolophus hipposideros&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;category&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a196bb2-65d9-4df2-8873-0c212bf0a265' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a196bb2-65d9-4df2-8873-0c212bf0a265' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'category' (category: 17)> Size: 2kB\n",
       "array(['Barbastellus barbastellus', 'Eptesicus serotinus', 'Myotis alcathoe',\n",
       "       'Myotis bechsteinii', 'Myotis brandtii', 'Myotis daubentonii',\n",
       "       'Myotis mystacinus', 'Myotis nattereri', 'Nyctalus leisleri',\n",
       "       'Nyctalus noctula', 'Pipistrellus nathusii',\n",
       "       'Pipistrellus pipistrellus', 'Pipistrellus pygmaeus',\n",
       "       'Plecotus auritus', 'Plecotus austriacus', 'Rhinolophus ferrumequinum',\n",
       "       'Rhinolophus hipposideros'], dtype='<U25')\n",
       "Coordinates:\n",
       "    channel   int64 8B 0\n",
       "  * category  (category) <U25 2kB 'Barbastellus barbastellus' ... 'Rhinolophu..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_dataset[\"class\"].category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5028922d-cd43-480f-a59e-b9a57dbb626d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:27.470061Z",
     "iopub.status.busy": "2024-11-18T21:26:27.469636Z",
     "iopub.status.idle": "2024-11-18T21:26:27.503493Z",
     "shell.execute_reply": "2024-11-18T21:26:27.502648Z",
     "shell.execute_reply.started": "2024-11-18T21:26:27.470021Z"
    }
   },
   "outputs": [],
   "source": [
    "assert spec.shape == new_spec.shape\n",
    "assert detection_mask.shape == new_detection_mask.shape\n",
    "assert size_mask.shape == new_size_mask.shape\n",
    "assert class_mask.shape[1:] == new_class_mask.shape[1:]\n",
    "assert class_mask.shape[0] == new_class_mask.shape[0] + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0072f1d5-1c07-41cf-879a-63e0a820f1f6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:27.505404Z",
     "iopub.status.busy": "2024-11-18T21:26:27.504588Z",
     "iopub.status.idle": "2024-11-18T21:26:27.540355Z",
     "shell.execute_reply": "2024-11-18T21:26:27.539604Z",
     "shell.execute_reply.started": "2024-11-18T21:26:27.505373Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_versions(\n",
    "    original_version,\n",
    "    new_version,\n",
    "    title=\"\",\n",
    "    figsize=(20, 6),\n",
    "    cmap=\"gray\",\n",
    "):\n",
    "    plt.figure(figsize=figsize, facecolor=\"black\")\n",
    "    ax1 = plt.subplot(3, 1, 1)\n",
    "    ax1.pcolormesh(np.flipud(original_version), cmap=cmap)\n",
    "    ax1.set_title(\"Original\", fontdict={'color': \"white\"})\n",
    "    ax1.axis(\"off\")\n",
    "    \n",
    "    ax2 = plt.subplot(3, 1, 2)\n",
    "    ax2.pcolormesh(new_version, cmap=cmap)\n",
    "    ax2.set_title(\"New\", fontdict={'color': \"white\"})\n",
    "    ax2.axis(\"off\")\n",
    "    \n",
    "    max_val = max(original_version.max(), new_version.max())\n",
    "    \n",
    "    original_n = original_version / max_val\n",
    "    new_n = new_version / max_val\n",
    "    diff = np.abs(np.flipud(original_n) - new_n)\n",
    "    ax3 = plt.subplot(3, 1, 3)\n",
    "    ax3.pcolormesh(\n",
    "        np.stack([np.flipud(original_n), new_n, np.flipud(original_n), diff], axis=-1,)\n",
    "    )\n",
    "    ax3.set_title(\"Difference\", fontdict={'color': \"white\"})\n",
    "    ax3.axis(\"off\")\n",
    "    \n",
    "    plt.suptitle(title, fontdict={'color': \"white\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9f87f452-e197-4f04-a214-9b85287cdd59",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:27.542256Z",
     "iopub.status.busy": "2024-11-18T21:26:27.541352Z",
     "iopub.status.idle": "2024-11-18T21:26:28.074464Z",
     "shell.execute_reply": "2024-11-18T21:26:28.073770Z",
     "shell.execute_reply.started": "2024-11-18T21:26:27.542223Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_versions(spec, new_spec, title=\"Spectrogram\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7db30b20-c0e5-4329-8c31-836d2cfeb595",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:28.075421Z",
     "iopub.status.busy": "2024-11-18T21:26:28.075178Z",
     "iopub.status.idle": "2024-11-18T21:26:28.536098Z",
     "shell.execute_reply": "2024-11-18T21:26:28.535260Z",
     "shell.execute_reply.started": "2024-11-18T21:26:28.075399Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_versions(detection_mask, new_detection_mask, title=\"Detection Heatmap\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a0d380dc-9502-4352-bd22-cbaa84117fdb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:28.537246Z",
     "iopub.status.busy": "2024-11-18T21:26:28.536975Z",
     "iopub.status.idle": "2024-11-18T21:26:28.988473Z",
     "shell.execute_reply": "2024-11-18T21:26:28.987726Z",
     "shell.execute_reply.started": "2024-11-18T21:26:28.537222Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_versions(class_mask[6], new_class_mask[6], title=f\"{new_dataset.category[6].values} Heatmap\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f17029dd-4623-4684-b966-6faa0dc76a2d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:28.989272Z",
     "iopub.status.busy": "2024-11-18T21:26:28.989031Z",
     "iopub.status.idle": "2024-11-18T21:26:29.437666Z",
     "shell.execute_reply": "2024-11-18T21:26:29.436822Z",
     "shell.execute_reply.started": "2024-11-18T21:26:28.989249Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_versions(class_mask[11], new_class_mask[11], title=f\"{new_dataset.category[11].values} Heatmap\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7d5618a5-30d6-40bd-bff9-c8bb6649d841",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:29.438700Z",
     "iopub.status.busy": "2024-11-18T21:26:29.438451Z",
     "iopub.status.idle": "2024-11-18T21:26:29.471501Z",
     "shell.execute_reply": "2024-11-18T21:26:29.470607Z",
     "shell.execute_reply.started": "2024-11-18T21:26:29.438677Z"
    }
   },
   "outputs": [],
   "source": [
    "x_new, y_new = np.nonzero(new_size_mask.max(axis=0)) \n",
    "x_orig, y_orig = np.nonzero(np.flipud(size_mask.max(axis=0)))\n",
    "\n",
    "assert (x_new == x_orig).all()\n",
    "\n",
    "# NOTE: a difference of 1 pixel is due to discrepancies on how frequency bins are interpreted.\n",
    "# shouldn't be an issue\n",
    "assert (y_new == y_orig + 1).all()\n",
    "\n",
    "width_new, height_new = values_new = new_size_mask[:, x_new, y_new]\n",
    "width_orig, height_orig = values_orig = np.flip(size_mask,axis=1)[:, x_orig, y_orig]\n",
    "\n",
    "assert (np.floor(width_new) == width_orig).all()\n",
    "assert (np.ceil(height_new) == height_orig).all()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5d201d2f-3fee-4ff4-9086-106a2b0607f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-18T21:26:29.472757Z",
     "iopub.status.busy": "2024-11-18T21:26:29.472487Z",
     "iopub.status.idle": "2024-11-18T21:26:29.508832Z",
     "shell.execute_reply": "2024-11-18T21:26:29.508055Z",
     "shell.execute_reply.started": "2024-11-18T21:26:29.472734Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data_dir': '/data1/bat_data/data/',\n",
       " 'ann_dir': '/data1/bat_data/annotations/anns_same/',\n",
       " 'train_split': 'same',\n",
       " 'standardize_classs_names_ip': 'Rhinolophus ferrumequinum;Rhinolophus hipposideros',\n",
       " 'model_name': 'Net2DFast',\n",
       " 'num_filters': 128,\n",
       " 'experiment': '../../experiments/2021_12_13__20_20_37/',\n",
       " 'model_file_name': '../../experiments/2021_12_13__20_20_37/2021_12_13__20_20_37.pth.tar',\n",
       " 'op_im_dir': '../../experiments/2021_12_13__20_20_37/op_ims/',\n",
       " 'op_im_dir_test': '../../experiments/2021_12_13__20_20_37/op_ims_test/',\n",
       " 'notes': '',\n",
       " 'target_samp_rate': 256000,\n",
       " 'fft_win_length': 0.002,\n",
       " 'fft_overlap': 0.75,\n",
       " 'max_freq': 120000,\n",
       " 'min_freq': 10000,\n",
       " 'resize_factor': 0.5,\n",
       " 'spec_height': 256,\n",
       " 'spec_train_width': 512,\n",
       " 'spec_divide_factor': 32,\n",
       " 'denoise_spec_avg': True,\n",
       " 'scale_raw_audio': False,\n",
       " 'max_scale_spec': False,\n",
       " 'spec_scale': 'pcen',\n",
       " 'detection_overlap': 0.01,\n",
       " 'ignore_start_end': 0.01,\n",
       " 'detection_threshold': 0.01,\n",
       " 'nms_kernel_size': 9,\n",
       " 'nms_top_k_per_sec': 200,\n",
       " 'target_sigma': 2.0,\n",
       " 'aug_prob': 0.2,\n",
       " 'augment_at_train': True,\n",
       " 'augment_at_train_combine': True,\n",
       " 'echo_max_delay': 0.005,\n",
       " 'stretch_squeeze_delta': 0.04,\n",
       " 'mask_max_time_perc': 0.05,\n",
       " 'mask_max_freq_perc': 0.1,\n",
       " 'spec_amp_scaling': 2.0,\n",
       " 'aug_sampling_rates': [220500,\n",
       "  256000,\n",
       "  300000,\n",
       "  312500,\n",
       "  384000,\n",
       "  441000,\n",
       "  500000],\n",
       " 'train_loss': 'focal',\n",
       " 'det_loss_weight': 1.0,\n",
       " 'size_loss_weight': 0.1,\n",
       " 'class_loss_weight': 2.0,\n",
       " 'individual_loss_weight': 0.0,\n",
       " 'emb_dim': 0,\n",
       " 'lr': 0.001,\n",
       " 'batch_size': 8,\n",
       " 'num_workers': 4,\n",
       " 'num_epochs': 200,\n",
       " 'num_eval_epochs': 5,\n",
       " 'device': 'cuda',\n",
       " 'save_test_image_during_train': False,\n",
       " 'save_test_image_after_train': True,\n",
       " 'convert_to_genus': False,\n",
       " 'genus_mapping': [0, 1, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 5, 5, 6, 6],\n",
       " 'class_names': ['Barbastellus barbastellus',\n",
       "  'Eptesicus serotinus',\n",
       "  'Myotis alcathoe',\n",
       "  'Myotis bechsteinii',\n",
       "  'Myotis brandtii',\n",
       "  'Myotis daubentonii',\n",
       "  'Myotis mystacinus',\n",
       "  'Myotis nattereri',\n",
       "  'Nyctalus leisleri',\n",
       "  'Nyctalus noctula',\n",
       "  'Pipistrellus nathusii',\n",
       "  'Pipistrellus pipistrellus',\n",
       "  'Pipistrellus pygmaeus',\n",
       "  'Plecotus auritus',\n",
       "  'Plecotus austriacus',\n",
       "  'Rhinolophus ferrumequinum',\n",
       "  'Rhinolophus hipposideros'],\n",
       " 'classes_to_ignore': ['', ' ', 'Unknown', 'Not Bat'],\n",
       " 'generic_class': ['Bat'],\n",
       " 'events_of_interest': ['Echolocation'],\n",
       " 'standardize_classs_names': ['Rhinolophus ferrumequinum',\n",
       "  'Rhinolophus hipposideros'],\n",
       " 'train_sets': [{'dataset_name': 'BatDetective',\n",
       "   'is_test': False,\n",
       "   'is_binary': True,\n",
       "   'ann_path': 'train_set_bulgaria_batdetective_with_bbs.json',\n",
       "   'wav_path': 'bat_detective/audio/'},\n",
       "  {'dataset_name': 'bat_logger_qeop_empty',\n",
       "   'is_test': False,\n",
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       "   'ann_path': 'bat_logger_qeop_empty.json',\n",
       "   'wav_path': 'bat_logger_qeop_empty/audio/'},\n",
       "  {'dataset_name': 'bat_logger_2016_empty',\n",
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       "   'ann_path': 'train_set_bat_logger_2016_empty.json',\n",
       "   'wav_path': 'bat_logger_2016/audio/'},\n",
       "  {'dataset_name': 'echobank',\n",
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       "   'ann_path': 'Echobank_train_expert_TRAIN.json',\n",
       "   'wav_path': 'echobank/audio/'},\n",
       "  {'dataset_name': 'sn_scot_nor',\n",
       "   'is_test': False,\n",
       "   'is_binary': False,\n",
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       "   'wav_path': 'sn_scot_nor/audio/'},\n",
       "  {'dataset_name': 'BCT_1_sec',\n",
       "   'is_test': False,\n",
       "   'is_binary': False,\n",
       "   'ann_path': 'BCT_1_sec_train_expert_TRAIN.json',\n",
       "   'wav_path': 'BCT_1_sec/audio/'},\n",
       "  {'dataset_name': 'bcireland',\n",
       "   'is_test': False,\n",
       "   'is_binary': False,\n",
       "   'ann_path': 'bcireland_expert_TRAIN.json',\n",
       "   'wav_path': 'bcireland/audio/'},\n",
       "  {'dataset_name': 'rhinolophus_steve_BCT',\n",
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       "   'wav_path': 'rhinolophus_steve_BCT/audio/'},\n",
       "  {'dataset_name': 'bat_data_martyn_2018',\n",
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       "  {'dataset_name': 'bat_data_martyn_2018_test',\n",
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       "  {'dataset_name': 'bat_data_martyn_2019',\n",
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       "   'wav_path': 'bat_data_martyn_2019/audio/'},\n",
       "  {'dataset_name': 'bat_data_martyn_2019_test',\n",
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       "   'is_binary': False,\n",
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       "   'wav_path': 'bat_data_martyn_2019_test/audio/'}],\n",
       " 'test_sets': [{'dataset_name': 'echobank',\n",
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       "   'wav_path': 'echobank/audio/'},\n",
       "  {'dataset_name': 'sn_scot_nor',\n",
       "   'is_test': True,\n",
       "   'is_binary': False,\n",
       "   'ann_path': 'sn_scot_nor_0.5_expert_TEST.json',\n",
       "   'wav_path': 'sn_scot_nor/audio/'},\n",
       "  {'dataset_name': 'BCT_1_sec',\n",
       "   'is_test': True,\n",
       "   'is_binary': False,\n",
       "   'ann_path': 'BCT_1_sec_train_expert_TEST.json',\n",
       "   'wav_path': 'BCT_1_sec/audio/'},\n",
       "  {'dataset_name': 'bcireland',\n",
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       "   'is_binary': False,\n",
       "   'ann_path': 'bcireland_expert_TEST.json',\n",
       "   'wav_path': 'bcireland/audio/'},\n",
       "  {'dataset_name': 'rhinolophus_steve_BCT',\n",
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       "   'ann_path': 'rhinolophus_steve_BCT_expert_TEST.json',\n",
       "   'wav_path': 'rhinolophus_steve_BCT/audio/'},\n",
       "  {'dataset_name': 'bat_data_martyn_2018',\n",
       "   'is_test': True,\n",
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       "   'ann_path': 'BritishBatCalls_MartynCooke_2018_1_sec_train_expert_TEST.json',\n",
       "   'wav_path': 'bat_data_martyn_2018/audio/'},\n",
       "  {'dataset_name': 'bat_data_martyn_2018_test',\n",
       "   'is_test': True,\n",
       "   'is_binary': False,\n",
       "   'ann_path': 'BritishBatCalls_MartynCooke_2018_1_sec_test_expert_TEST.json',\n",
       "   'wav_path': 'bat_data_martyn_2018_test/audio/'},\n",
       "  {'dataset_name': 'bat_data_martyn_2019',\n",
       "   'is_test': True,\n",
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       "   'wav_path': 'bat_data_martyn_2019/audio/'},\n",
       "  {'dataset_name': 'bat_data_martyn_2019_test',\n",
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       "   'ann_path': 'BritishBatCalls_MartynCooke_2019_1_sec_test_expert_TEST.json',\n",
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       " 'genus_names': ['Barbastellus',\n",
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       "  'Myotis',\n",
       "  'Nyctalus',\n",
       "  'Pipistrellus',\n",
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       "  'Rhinolophus'],\n",
       " 'class_names_short': ['Bar bar',\n",
       "  'Ept ser',\n",
       "  'Myo alc',\n",
       "  'Myo bec',\n",
       "  'Myo bra',\n",
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       "  'Rhi fer',\n",
       "  'Rhi hip'],\n",
       " 'ip_height': 128}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "execution_count": null,
   "id": "3b903e17-acee-4555-8e67-d7ba9ba731d1",
   "metadata": {},
   "outputs": [],
   "source": []
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