diff --git a/README.md b/README.md index bb03f3a..0dad745 100644 --- a/README.md +++ b/README.md @@ -8,10 +8,10 @@ Echoregions is a Python Package that interfaces with annotations of water column sonar data for training machine learning models or doing other downstream processing such as biomass estimation. The annotations are typically regions indicating the presence of specific animal species or lines delineating ocean boundaries, such as the seafloor or sea surface, in the "echogram" (sonar images formed by echo returns). The interfacing functionalities operate in two directions: -- Annotation to ML: Parsing and organizing manual annotations for preparing training and test datasets for ML developments +- Annotation to ML: Parsing and organizing annotations for preparing training and test datasets for ML developments - ML to annotation: Generating annotations from ML predictions that can be used for further downstream processing -At present, functionalities in the Annotation to ML direction have been built for interfacing the Echoview software that is widely used in the fisheries acoustics community. We plan to add functionalities in the ML to Annotation direction in the near future. +At present, functionalities in the Annotation to ML direction have been built for interfacing the [Echoview](https://echoview.com/products-and-services/echoview/) software that is widely used in the fisheries acoustics community. We plan to add functionalities in the ML to Annotation direction in the near future. ## Functionalities diff --git a/docs/source/Lines_functionality.ipynb b/docs/source/Lines_functionality.ipynb index b486b3b..7b58da6 100644 --- a/docs/source/Lines_functionality.ipynb +++ b/docs/source/Lines_functionality.ipynb @@ -12,7 +12,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This notebook parses bottom values from an Echoview `.evl` file and create a bottom mask for the corresponding sonar data." + "This notebook parses bottom values from an Echoview `.evl` file and creates a bottom mask for the corresponding Echogram data." ] }, { @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -65,14 +65,14 @@ "source": [ "### Bottom Data Reading\n", "\n", - "To start this tutorial, we first download EVL data from Echoregion's github repository and parse the EVL file using Echoregion's `read_evl` function. \n", + "To start this tutorial, we first download `evl` data from Echoregion's Github Repository and parse the `.evl` file using Echoregion's `read_evl` function. \n", "\n", - "The parsing is based off of the EVL data description shown on Echoview's website: [Line Attributes](https://support.echoview.com/WebHelp/Using_Echoview/Exporting/Exporting_Data/Exporting_line_data.htm)." + "The parsing is based off of the `.evl` data description shown on Echoview's website: [Line Attributes](https://support.echoview.com/WebHelp/Using_Echoview/Exporting/Exporting_Data/Exporting_line_data.htm)." ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 23, "metadata": { "id": "-wamYdGp1AIJ" }, @@ -110,7 +110,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 24, "metadata": { "id": "eruimy-0d2vd" }, @@ -122,7 +122,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -308,7 +308,7 @@ "[3171 rows x 7 columns]" ] }, - "execution_count": 41, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -333,21 +333,21 @@ "\n", "The good and bad values are assigned via the specific EVL line picking formula used to generate the initial EVL file. Generally, we only want the rows with good/3 status.\n", "\n", - "More information on Echoview Status can be found here: https://support.echoview.com/WebHelp/Using_Echoview/Echogram/Lines/About_Line_Status.htm.\n", + "More information on Echoview Status can be found here: [Line Status](https://support.echoview.com/WebHelp/Using_Echoview/Echogram/Lines/About_Line_Status.htm).\n", "\n", "Let's now plot good points." ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 26, "metadata": { "id": "orx1LK5LgKWs" }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -361,7 +361,7 @@ "good_lines_df = lines_df[lines_df['status'] == '3']\n", "good_bottom = good_lines_df[['time', 'depth']]\n", "\n", - "plt.plot(good_bottom['time'], good_bottom['depth'], 'r.')\n", + "plt.plot(good_bottom['time'], good_bottom['depth'], 'black')\n", "plt.xlabel('Ping Time')\n", "plt.ylabel('Depth')\n", "plt.gca().invert_yaxis()\n", @@ -378,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -392,14 +392,14 @@ "id": "3yUUzIuMxWbN" }, "source": [ - "### Sonar Data Reading and Plotting\n", + "### Echogram Data Reading and Plotting\n", "\n", - "Let's now download and plot some Sonar backscatter data created using [Echopype](https://echopype.readthedocs.io/en/stable/). Echopype is a sonar backscatter parsing and scientific computation software for which Echoregions (a sonar annotation parsing software) is built to be used in conjunction with. For now, we will primarily be working with the `ds_Sv[\"Sv\"]` backscatter volume data variable, but there are many more data variables that can be used when parsing with Echopype." + "Let's now download and plot some sonar backscatter data created using [Echopype](https://echopype.readthedocs.io/en/stable/). Echopype is a sonar backscatter parsing and scientific computation software for which Echoregions, an echogram (the image formed by received sonar echoes) annotation parsing software, is built to be used in conjunction with. For now, we will primarily be working with the `ds_Sv[\"Sv\"]` backscatter volume data variable, but there are many more data variables that can be used when parsing with Echopype." ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -410,19 +410,19 @@ }, "outputs": [], "source": [ - "# Download example Echopype Sonar Zarr File\n", + "# Download example Echopype Sv Zarr File\n", "urllib.request.urlretrieve(f\"{TEST_DATA_PATH}/transect.zip\",\"transect.zip\")\n", "\n", "# Extract the ZIP file\n", "shutil.unpack_archive(\"transect.zip\", \"\")\n", "\n", - "# Read EVL file\n", + "# Read volume backscattering strength (Sv) data\n", "ds_Sv = xr.open_dataset('transect.zarr', engine=\"zarr\")" ] }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -801,16 +801,16 @@ "Attributes:\n", " actual_range: [-156.0, 37.68]\n", " long_name: Volume backscattering strength (Sv re 1 m-1)\n", - " units: dB
  • actual_range :
    [-156.0, 37.68]
    long_name :
    Volume backscattering strength (Sv re 1 m-1)
    units :
    dB
  • " ], "text/plain": [ "\n", @@ -846,7 +846,7 @@ " units: dB" ] }, - "execution_count": 45, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -857,16 +857,16 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 63, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, @@ -893,14 +893,14 @@ "id": "0B531wDEPfQr" }, "source": [ - "### Plotting and Masking Sonar and Bottom\n", + "### Plotting Echogram and Bottom\n", "\n", - "From the two previous plots, one can kind of see how they're related on both the depth and time dimensions. Now let's see bottom annotations overlayed on top of the Sonar dataset." + "From the two previous plots, one can kind of see how they're related on both the depth and time dimensions. Now let's see bottom annotations overlayed on top of the Echogram dataset." ] }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 31, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -913,16 +913,16 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 64, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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    " ] @@ -932,9 +932,9 @@ } ], "source": [ - "# Plotting the sonar data and the bottom\n", + "# Plotting the Echogram data and the bottom\n", "plt.figure(figsize = (20, 6))\n", - "plt.plot(lines.data['time'], lines.data['depth'],'ro',fillstyle='full', markersize=1)\n", + "plt.plot(lines.data['time'], lines.data['depth'],'black',fillstyle='full', markersize=1)\n", "ds_Sv.Sv.isel(channel=1).T.plot.pcolormesh(y=\"depth\", yincrease=False, vmin=-70, vmax=-30, cmap=cmap_d[\"ek500\"])" ] }, @@ -942,24 +942,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that there is clear overlap between the two pieces of data here. However, for machine learning training purposes, or for biomass estimation, it is necessary to mask out the pixels below the bottom line." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `Lines` class has a function to do this specific task: `mask`. The `mask` function interpolates the bottom points found in the DataFrame to generate new bottom points, and from these new points, generates an xarray bottom mask. There are a few different Pandas interpolation schemes one can pass in, but for this example we stick with something simple `slinear` which refers to a first order spline." + "### Masking Echogram and Bottom\n", + "\n", + "We can see that there is clear overlap between the two pieces of data here. However, for machine learning training purposes, or for biomass estimation, it is necessary to mask out the pixels below the bottom line.\n", + "\n", + "The `Lines` class has a function to do this specific task: `mask`. The `mask` function interpolates the bottom points found in the DataFrame to generate new bottom points, and from these new points, generates an Xarray bottom mask. There are a few different Pandas interpolation schemes one can pass in, but for this example we stick with something simple `slinear` which refers to a first order spline." ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "# Use the built in mask function\n", - "bottom_mask_da, bottom_contours = lines.mask(\n", + "bottom_mask_da, bottom_points = lines.mask(\n", " ds_Sv[\"Sv\"].isel(channel=1).drop_vars(\"channel\").compute(),\n", " method=\"slinear\",\n", " limit_area=None,\n", @@ -985,7 +982,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1365,17 +1362,17 @@ "Coordinates:\n", " * depth (depth) float64 9.15 9.34 9.529 9.719 ... 758.1 758.3 758.5\n", " range_sample (depth) int64 0 3 4 5 6 7 8 ... 3951 3952 3953 3954 3955 3956\n", - " * ping_time (ping_time) datetime64[ns] 2019-07-02T18:40:00 ... 2019-07-...
  • " ], "text/plain": [ "\n", @@ -1412,7 +1409,7 @@ " * ping_time (ping_time) datetime64[ns] 2019-07-02T18:40:00 ... 2019-07-..." ] }, - "execution_count": 49, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1430,7 +1427,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1449,12 +1446,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "As a sanity check, let us check that the `ping_time` and `depth` dimensions in the bottom mask `bottom_mask_da` are equal to that in the backscatter sonar data `ds_Sv[\"Sv\"]`:" + "As a sanity check, let us check that the `ping_time` and `depth` dimensions in the bottom mask `bottom_mask_da` are equal to that in the backscatter data `ds_Sv[\"Sv\"]`:" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1463,8 +1460,8 @@ "text": [ "Bottom Mask Ping Time Dimension Length: 1681\n", "Bottom Mask Depth Dimension Length: 3955\n", - "Backscatter Sonar Ping Time Dimension Length: 1681\n", - "Backscatter Sonar Depth Dimension Length: 3955\n" + "Echogram Ping Time Dimension Length: 1681\n", + "Echogram Depth Dimension Length: 3955\n" ] } ], @@ -1478,11 +1475,11 @@ " len(bottom_mask_da[\"depth\"])\n", ")\n", "print(\n", - " \"Backscatter Sonar Ping Time Dimension Length:\",\n", + " \"Echogram Ping Time Dimension Length:\",\n", " len(ds_Sv[\"Sv\"][\"ping_time\"])\n", ")\n", "print(\n", - " \"Backscatter Sonar Depth Dimension Length:\",\n", + " \"Echogram Depth Dimension Length:\",\n", " len(ds_Sv[\"Sv\"][\"depth\"])\n", ")" ] @@ -1496,16 +1493,16 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 59, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, @@ -1533,16 +1530,16 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 60, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, @@ -1573,7 +1570,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's now take a look at the interpolated points `bottom_contours`:" + "Let's now take a look at the interpolated points `bottom_points`:" ] }, { @@ -1585,7 +1582,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1598,7 +1595,7 @@ } ], "source": [ - "print(\"Interpolated Rows:\", len(bottom_contours))\n", + "print(\"Interpolated Rows:\", len(bottom_points))\n", "print(\"Original Rows:\", len(lines.data))" ] }, @@ -1608,24 +1605,24 @@ "source": [ "Why are there more rows in the original rows than there are in the intepolated rows? It's because the interpolated bottom data has to match the ping time dimension of the passed in dataset.\n", "\n", - "Let's now look at the sonar ping time dimension length:" + "Let's now look at the Echogram ping time dimension length:" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Sonar Ping Time Dimension Length: 1681\n" + "Echogram Ping Time Dimension Length: 1681\n" ] } ], "source": [ - "print(\"Sonar Ping Time Dimension Length:\", len(ds_Sv[\"ping_time\"]))" + "print(\"Echogram Ping Time Dimension Length:\", len(ds_Sv[\"ping_time\"]))" ] }, { @@ -1637,7 +1634,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1661,7 +1658,7 @@ "plt.xlabel('Ping Time')\n", "plt.ylabel('Depth')\n", "plt.subplot(1, 2, 2)\n", - "plt.plot(bottom_contours['time'], bottom_contours['depth'], 'b.', markersize=0.5)\n", + "plt.plot(bottom_points['time'], bottom_points['depth'], 'b.', markersize=0.5)\n", "plt.gca().invert_yaxis()\n", "plt.title('Interpolated: First Order Spline')\n", "plt.xticks(rotation=90)\n", @@ -1684,7 +1681,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -1703,7 +1700,7 @@ "start_time = pd.to_datetime('2019-07-02 19:25:00')\n", "end_time = pd.to_datetime('2019-07-02 19:55:00')\n", "subset_lines_data = lines.data[(lines.data['time'] >= start_time) & (lines.data['time'] <= end_time)]\n", - "subset_bottom_contours = bottom_contours[(bottom_contours['time'] >= start_time) & (bottom_contours['time'] <= end_time)]\n", + "subset_bottom_points = bottom_points[(bottom_points['time'] >= start_time) & (bottom_points['time'] <= end_time)]\n", "\n", "# Plot both original and interpolated\n", "plt.subplot(1, 2, 1)\n", @@ -1714,7 +1711,7 @@ "plt.xlabel('Ping Time')\n", "plt.ylabel('Depth')\n", "plt.subplot(1, 2, 2)\n", - "plt.plot(subset_bottom_contours['time'], subset_bottom_contours['depth'], 'b.', markersize=5)\n", + "plt.plot(subset_bottom_points['time'], subset_bottom_points['depth'], 'b.', markersize=5)\n", "plt.gca().invert_yaxis()\n", "plt.title('Subset Interpolated: First Order Spline')\n", "plt.xticks(rotation=90)\n", @@ -1737,7 +1734,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -1747,8 +1744,8 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[58], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Test ds_Sv\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mlines\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmask\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mds_Sv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mslinear\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mlimit_area\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mlimit_direction\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mboth\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m 7\u001b[0m \u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/echoregions/echoregions/lines/lines.py:193\u001b[0m, in \u001b[0;36mLines.mask\u001b[0;34m(self, da_Sv, **kwargs)\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 165\u001b[0m \u001b[38;5;124;03mSubsets a bottom dataset to the range of an Sv dataset. Create a mask of\u001b[39;00m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;124;03mthe same shape as data found in the Sonar object:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 189\u001b[0m \u001b[38;5;124;03mfrom each other.\u001b[39;00m\n\u001b[1;32m 190\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 192\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(da_Sv, DataArray):\n\u001b[0;32m--> 193\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m 194\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput da_Sv must be of type DataArray. da_Sv was instead of type \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(da_Sv)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 195\u001b[0m )\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfilter_bottom\u001b[39m(bottom, start_date, end_date):\n\u001b[1;32m 198\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;124;03m Selects the values of the bottom between two dates.\u001b[39;00m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n", + "Cell \u001b[0;32mIn[42], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Test ds_Sv\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mlines\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmask\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mds_Sv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mslinear\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mlimit_area\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mlimit_direction\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mboth\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m 7\u001b[0m \u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/echoregions/echoregions/lines/lines.py:193\u001b[0m, in \u001b[0;36mLines.mask\u001b[0;34m(self, da_Sv, **kwargs)\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 165\u001b[0m \u001b[38;5;124;03mSubsets a bottom dataset to the range of an Sv dataset. Create a mask of\u001b[39;00m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;124;03mthe same shape as data found in the Echogram object:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 189\u001b[0m \u001b[38;5;124;03mfrom each other.\u001b[39;00m\n\u001b[1;32m 190\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 192\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(da_Sv, DataArray):\n\u001b[0;32m--> 193\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m 194\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput da_Sv must be of type DataArray. da_Sv was instead of type \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(da_Sv)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 195\u001b[0m )\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfilter_bottom\u001b[39m(bottom, start_date, end_date):\n\u001b[1;32m 198\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;124;03m Selects the values of the bottom between two dates.\u001b[39;00m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n", "\u001b[0;31mTypeError\u001b[0m: Input da_Sv must be of type DataArray. da_Sv was instead of type " ] } @@ -1767,7 +1764,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Saving to .csv and Reading From .csv\n", + "### Saving to \".csv\" and Reading From \".csv\"\n", "\n", "So now that we have our mask and our new interpolated bottom points, how do we save them?\n", "\n", @@ -1781,7 +1778,7 @@ "outputs": [], "source": [ "# Create new lines object\n", - "from_mask_lines = er.read_lines_csv(bottom_contours)\n", + "from_mask_lines = er.read_lines_csv(bottom_points)\n", "\n", "# Save to .csv\n", "from_mask_lines.to_csv(\"from_mask_lines.csv\")" diff --git a/docs/source/Regions2D_functionality.ipynb b/docs/source/Regions2D_functionality.ipynb index 3cf2370..9b1fb7b 100644 --- a/docs/source/Regions2D_functionality.ipynb +++ b/docs/source/Regions2D_functionality.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This notebook parses region values from an Echoview `.evr` file and create a region mask for the corresponding sonar data." + "This notebook parses region values from an Echoview `.evr` file and creates a region mask for the corresponding Echogram data." ] }, { @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -59,14 +59,14 @@ "source": [ "### Regions Data Reading\n", "\n", - "To start this tutorial, we first download EVL data from Echoregion's github repository and parse the EVL file using Echoregion's `read_evr` function. \n", + "To start this tutorial, we first download `evr` data from Echoregion's Github Repository and parse the `.evr` file using Echoregion's `read_evr` function. \n", "\n", - "The parsing is based off of the EVR data description shown on Echoview's website: [Region Attributes](https://support.echoview.com/WebHelp/Reference/File_Formats/Export_File_Formats/2D_Region_definition_file_format.htm)." + "The parsing is based off of the `.evr` data description shown on Echoview's website: [Region Attributes](https://support.echoview.com/WebHelp/Reference/File_Formats/Export_File_Formats/2D_Region_definition_file_format.htm)." ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -96,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -106,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -270,7 +270,7 @@ "[3 rows x 22 columns]" ] }, - "execution_count": 4, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -283,12 +283,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The `regions2d` object can be subsetted using the `select_region` function and with parameters related to region class, time, and depth. For this example let us select a hake region based on the `region_class` parameter:" + "The `regions2d` object can be subsetted using the `select_region` function and with parameters related to region class, time, and depth. For this example let us select a trawl region based on the `region_class` parameter:" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -297,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -426,7 +426,7 @@ "[2 rows x 22 columns]" ] }, - "execution_count": 6, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -439,12 +439,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now notice that thses regions are not closed:" + "Now notice that these regions are not closed:" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -472,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -502,7 +502,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -524,30 +524,30 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Sonar Data Reading and Plotting\n", + "### Echogram Data Reading and Plotting\n", "\n", - "Let's now download and plot some Sonar backscatter data created using [Echopype](https://echopype.readthedocs.io/en/stable/). Echopype is a sonar backscatter parsing and scientific computation software for which Echoregions (a sonar annotation parsing software) is built to be used in conjunction with. For now, we will primarily be working with the `ds_Sv[\"Sv\"]` backscatter volume data variable, but there are many more data variables that can be used when parsing with Echopype." + "Let's now download and plot some sonar backscatter data created using [Echopype](https://echopype.readthedocs.io/en/stable/). Echopype is a sonar backscatter parsing and scientific computation software for which Echoregions, an echogram (the image formed by received sonar echoes) annotation parsing software, is built to be used in conjunction with. For now, we will primarily be working with the `ds_Sv[\"Sv\"]` backscatter volume data variable, but there are many more data variables that can be used when parsing with Echopype." ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ - "# Download example Echopype Sonar Zarr File\n", + "# Download example Echopype Sv Zarr File\n", "urllib.request.urlretrieve(f\"{TEST_DATA_PATH}/transect.zip\",\"transect.zip\")\n", "\n", "# Extract the ZIP file\n", "shutil.unpack_archive(\"transect.zip\", \"\")\n", "\n", - "# Read EVL file\n", + "# Read volume backscattering strength (Sv) data\n", "ds_Sv = xr.open_dataset('transect.zarr', engine=\"zarr\")" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -926,16 +926,16 @@ "Attributes:\n", " actual_range: [-156.0, 37.68]\n", " long_name: Volume backscattering strength (Sv re 1 m-1)\n", - " units: dB
  • actual_range :
    [-156.0, 37.68]
    long_name :
    Volume backscattering strength (Sv re 1 m-1)
    units :
    dB
  • " ], "text/plain": [ "\n", @@ -971,7 +971,7 @@ " units: dB" ] }, - "execution_count": 11, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -982,16 +982,16 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 26, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, @@ -1015,23 +1015,23 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Plotting and Masking Sonar and Region\n", + "### Plotting Echogram and Region\n", "\n", - "From the two previous plots, one can kind of see how they're related on both the depth and time dimensions. Now let's see a region annotation overlayed on top of the Sonar dataset." + "From the two previous plots, one can kind of see how they're related on both the depth and time dimensions. Now let's see a region annotation overlayed on top of the Echogram dataset." ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, @@ -1047,7 +1047,7 @@ } ], "source": [ - "# Plotting the sonar data and the trawl region\n", + "# Plotting the echogram data and the trawl region\n", "plt.figure(figsize=(20, 6))\n", "for _, point in trawl_regions_closed.iterrows():\n", " color = 'red' if point['region_id'] == 18 else 'black' # Assign red for region ID 18 and black for region ID 19\n", @@ -1060,35 +1060,32 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can see there is a faint dispersed region, which represents Hake distribution." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For machine learning training purposes, and more specifically, for computer vision segmentation model training, a region polygon is not enough and so we require masks of the sonar data.\n", + "### Masking Echogram and Region\n", + "\n", + "From the previous plot, one can kind of see how they're related on both the depth and time dimensions. Now let's see a region annotation overlayed on top of the Echogram dataset.\n", + "\n", + "For machine learning training purposes, and more specifically, for computer vision segmentation model training, a region polygon is not enough and so we require masks of the echogram data, which indicate which points are within the region.\n", "\n", - "The `Regions2D` class has a function to do this specific task: `mask`. This `mask` function is essentially a wrapper over the [`mask_3D`](https://regionmask.readthedocs.io/en/stable/notebooks/mask_3D.html) function from [regionmask](https://github.com/regionmask/regionmask). The 3D in `mask_3D` is important here since the masks we get out of `regions2d` will be 3D masks by default (when `collapse_to_2d = False` in `regions2d.mask`, which is the default value). This means that the mask will have three dimensions: Ping Time, Depth, and Region ID, where Region ID is the unique identifier of a region. The separation of regions via the Region ID dimension allows the storage of 'within region' and 'outside region' information as 1 and 0 respectively.\n", + "The `Regions2D` class has a function to do this specific task: `mask`. This `mask` function is essentially a wrapper over the [`mask_3D`](https://regionmask.readthedocs.io/en/stable/notebooks/mask_3D.html) function from [regionmask](https://github.com/regionmask/regionmask). The 3D in `mask_3D` is important here since the masks we get out of `regions2d` will be 3D masks by default (when `collapse_to_2d = False` in `regions2d.mask`, which is the default value). This means that the mask will have three dimensions: `ping_time`, `depth`, and `region_id`, where `region_id` is the unique identifier of a region. The separation of regions via the `region_id` dimension allows the storage of 'within region' and 'outside region' information as 1 and 0 respectively.\n", "\n", - "If the user passes in `collapse_to_2d = True` they will produce a 2D mask where the mask will have dimensions Ping Time and Depth, and the 'within region' values will be the Region ID values and 'outside region' values will be NaN." + "If the user passes in `collapse_to_2d = True` they will produce a 2D mask where the mask will have dimensions `ping_time`, and `depth`, and the 'within region' values will be the `region_id` values and 'outside region' values will be NaN." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Let's Look first at the default `collapse_to_2d = False` case:" + "Let's look first at the default `collapse_to_2d = False` case:" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "# Use the built in mask function to create a mask\n", - "region_mask_ds, region_contours = regions2d.mask(\n", + "region_mask_ds, region_points = regions2d.mask(\n", " ds_Sv[\"Sv\"].isel(channel=1).drop_vars(\"channel\").compute(),\n", " region_class=\"Trawl\",\n", " #collapse_to_2d= False, mask defaults to this so we can comment it out\n", @@ -1106,7 +1103,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The output should be the region mask itself and the points that constitute the region mask." + "The output should be the region mask itself and the points that constitute the region." ] }, { @@ -1118,7 +1115,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1495,11 +1492,11 @@ " * ping_time (ping_time) datetime64[ns] 2019-07-02T18:40:00 ... 2019-07-0...\n", "Data variables:\n", " mask_labels (region_id) int64 0 1\n", - " mask_3d (region_id, depth, ping_time) int64 0 0 0 0 0 0 ... 0 0 0 0 0 0
  • " ], "text/plain": [ "\n", @@ -1547,7 +1544,7 @@ " mask_3d (region_id, depth, ping_time) int64 0 0 0 0 0 0 ... 0 0 0 0 0 0" ] }, - "execution_count": 76, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1565,7 +1562,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1584,12 +1581,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "As a sanity check, let us check that the `ping_time` and `depth` dimensions in the region mask `region_mask_ds` are equal to that in the backscatter sonar data `ds_Sv[\"Sv\"]`:" + "As a sanity check, let us check that the `ping_time` and `depth` dimensions in the region mask `region_mask_ds` are equal to that in the backscatter data `ds_Sv[\"Sv\"]`:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -1598,8 +1595,8 @@ "text": [ "Region Mask Ping Time Dimension Length: 1681\n", "Region Mask Depth Dimension Length: 3955\n", - "Backscatter Sonar Ping Time Dimension Length: 1681\n", - "Backscatter Sonar Depth Dimension Length: 3955\n" + "Echogram Ping Time Dimension Length: 1681\n", + "Echogram Depth Dimension Length: 3955\n" ] } ], @@ -1613,11 +1610,11 @@ " len(region_mask_ds[\"depth\"])\n", ")\n", "print(\n", - " \"Backscatter Sonar Ping Time Dimension Length:\",\n", + " \"Echogram Ping Time Dimension Length:\",\n", " len(ds_Sv[\"Sv\"][\"ping_time\"])\n", ")\n", "print(\n", - " \"Backscatter Sonar Depth Dimension Length:\",\n", + " \"Echogram Depth Dimension Length:\",\n", " len(ds_Sv[\"Sv\"][\"depth\"])\n", ")" ] @@ -1626,21 +1623,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "A plot of region id 18 and a plot of region id 19:" + "A plot of region id 18:" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 81, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, @@ -1659,18 +1656,25 @@ "region_mask_ds[\"mask_3d\"].sel(region_id=18).plot(y=\"depth\", yincrease=False)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A plot of region id 19:" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 82, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, @@ -1698,16 +1702,16 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 33, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" }, @@ -1743,12 +1747,12 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "# Set collapse_to_2d = True\n", - "region_mask_2d_ds, region_contours_2d = regions2d.mask(\n", + "region_mask_2d_ds, region_points_2d = regions2d.mask(\n", " ds_Sv[\"Sv\"].isel(channel=1).drop_vars(\"channel\").compute(),\n", " region_class=\"Trawl\",\n", " collapse_to_2d=True,\n", @@ -1757,7 +1761,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -2136,17 +2140,17 @@ " [nan, nan, nan, ..., nan, nan, nan]])\n", "Coordinates:\n", " * depth (depth) float64 9.15 9.34 9.529 9.719 ... 757.9 758.1 758.3 758.5\n", - " * ping_time (ping_time) datetime64[ns] 2019-07-02T18:40:00 ... 2019-07-02T...
  • " ], "text/plain": [ "\n", @@ -2182,7 +2186,7 @@ " * ping_time (ping_time) datetime64[ns] 2019-07-02T18:40:00 ... 2019-07-02T..." ] }, - "execution_count": 35, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -2200,7 +2204,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -2224,7 +2228,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -2234,7 +2238,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[37], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Test ds_Sv\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mregions2d\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmask\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mds_Sv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mregion_class\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTrawl\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[48], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Test ds_Sv\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mregions2d\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmask\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mds_Sv\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43mregion_class\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTrawl\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m)\u001b[49m\n", "File \u001b[0;32m~/echoregions/echoregions/regions2d/regions2d.py:489\u001b[0m, in \u001b[0;36mRegions2D.mask\u001b[0;34m(self, da_Sv, region_id, region_class, mask_name, mask_labels, collapse_to_2d)\u001b[0m\n\u001b[1;32m 451\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 452\u001b[0m \u001b[38;5;124;03mMask data from Data Array containing Sv data based off of a Regions2D object\u001b[39;00m\n\u001b[1;32m 453\u001b[0m \u001b[38;5;124;03mand its regions ids.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 486\u001b[0m \u001b[38;5;124;03m DataFrame containing region_id, depth, and time.\u001b[39;00m\n\u001b[1;32m 487\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 488\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(da_Sv, DataArray):\n\u001b[0;32m--> 489\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m 490\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput da_Sv must be of type DataArray. da_Sv was instead of type \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(da_Sv)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 491\u001b[0m )\n\u001b[1;32m 493\u001b[0m \u001b[38;5;66;03m# Dataframe containing region information.\u001b[39;00m\n\u001b[1;32m 494\u001b[0m region_df \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mselect_region(region_id, region_class)\n", "\u001b[0;31mTypeError\u001b[0m: Input da_Sv must be of type DataArray. da_Sv was instead of type " ] @@ -2252,7 +2256,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Saving to .csv and Reading From .csv\n", + "### Saving to \".csv\" and Reading From \".csv\"\n", "\n", "So now that we have our mask and our region polygon points, how do we save them?\n", "\n", @@ -2261,12 +2265,12 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Create new regions2d object\n", - "from_mask_regions = er.read_regions_csv(region_contours)\n", + "from_mask_regions = er.read_regions_csv(region_points)\n", "\n", "# Save to .csv\n", "from_mask_regions.to_csv(\"from_mask_regions.csv\", index=False)" @@ -2276,12 +2280,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now if you need to load this .csv into a regions object we can again use `read_regions_csv` since it takes in both file locations (Path/str objects) and Pandas DataFrames:" + "Now if you need to load this `.csv` into a regions object we can again use `read_regions_csv` since it takes in both file locations (Path/str objects) and Pandas DataFrames:" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2298,7 +2302,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "metadata": {}, "outputs": [ { diff --git a/docs/source/index.md b/docs/source/index.md index 2213096..85edd7a 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -3,10 +3,10 @@ Echoregions is a Python Package that interfaces with annotations of water column sonar data for training machine learning models or doing other downstream processing such as biomass estimation. The annotations are typically regions indicating the presence of specific animal species or lines delineating ocean boundaries, such as the seafloor or sea surface, in the "echogram" (sonar images formed by echo returns). The interfacing functionalities operate in two directions: -- Annotation to ML: Parsing and organizing manual annotations for preparing training and test datasets for ML developments +- Annotation to ML: Parsing and organizing annotations for preparing training and test datasets for ML developments - ML to Annotation: Generating annotations from ML predictions that can be used for further downstream processing -At present, functionalities in the Annotation to ML direction have been built for interfacing manual annotations from the Echoview software, which is widely used in the fisheries acoustics community. We plan to add functionalities in the ML to Annotation direction in the near future. +At present, functionalities in the Annotation to ML direction have been built for interfacing manual annotations from the [Echoview](https://echoview.com/products-and-services/echoview/) software, which is widely used in the fisheries acoustics community. We plan to add functionalities in the ML to Annotation direction in the near future. ## Functionalities diff --git a/echoregions/lines/lines.py b/echoregions/lines/lines.py index 8784e3c..5272214 100644 --- a/echoregions/lines/lines.py +++ b/echoregions/lines/lines.py @@ -163,7 +163,7 @@ def plot( def mask(self, da_Sv: DataArray, **kwargs): """ Subsets a bottom dataset to the range of an Sv dataset. Create a mask of - the same shape as data found in the Sonar object: + the same shape as data found in the Echogram object: Bottom: True, Otherwise: False. Parameters @@ -178,7 +178,7 @@ def mask(self, da_Sv: DataArray, **kwargs): bottom_mask : Xarray DataArray Matrix of coordinates (ping_time, depth) with values such that bottom: False, otherwise: True - bottom_contours : pd.DataFrame + bottom_points : pd.DataFrame DataFrame containing depth and time. Notes @@ -207,7 +207,7 @@ def filter_bottom(bottom, start_date, end_date): lines_df = self.data # new index - sonar_ping_time = list(da_Sv.ping_time.data) + echogram_ping_time = list(da_Sv.ping_time.data) # filter bottom within start and end time start_time = da_Sv.ping_time.data.min() @@ -218,25 +218,25 @@ def filter_bottom(bottom, start_date, end_date): if len(filtered_bottom) > 0: # create joint index joint_index = list( - set(list(pd.DataFrame(sonar_ping_time)[0]) + list(filtered_bottom.index)) + set(list(pd.DataFrame(echogram_ping_time)[0]) + list(filtered_bottom.index)) ) - # Interpolate on the sonar coordinates. Note that some interpolation kwaargs + # Interpolate on the echogram coordinates. Note that some interpolation kwaargs # will result in some interpolation NaN values. The ffill and bfill lines # are there to fill in these NaN values. # TODO There exists a problem where when we use .loc prior to reindexing # we are hit with a key not found error. - bottom_contours = ( + bottom_points = ( filtered_bottom[["depth"]] .reindex(joint_index) .interpolate(**kwargs) - .loc[sonar_ping_time] + .loc[echogram_ping_time] .ffill() .bfill() ) # convert to data array for bottom - bottom_da = bottom_contours["depth"].to_xarray() + bottom_da = bottom_points["depth"].to_xarray() bottom_da = bottom_da.rename({"time": "ping_time"}) # create a data array of depths @@ -246,17 +246,17 @@ def filter_bottom(bottom, start_date, end_date): # bottom: True, otherwise: False bottom_mask = depth_da >= bottom_da - # Reset bottom_contours index so that time index becomes time column - bottom_contours = bottom_contours.reset_index() + # Reset bottom_points index so that time index becomes time column + bottom_points = bottom_points.reset_index() else: # Set everything to False bottom_mask = xr.full_like(da_Sv, False) - # Set bottom contours to empty DataFrame with time and depth columns - bottom_contours = pd.DataFrame(columns=["depth", "time"]) + # Set bottom points to empty DataFrame with time and depth columns + bottom_points = pd.DataFrame(columns=["depth", "time"]) # Bottom: True becomes 1, False becomes 0 bottom_mask = bottom_mask.where(True, 1, 0) - return bottom_mask, bottom_contours + return bottom_mask, bottom_points diff --git a/echoregions/lines/lines_parser.py b/echoregions/lines/lines_parser.py index fc274f2..c0b8ab5 100644 --- a/echoregions/lines/lines_parser.py +++ b/echoregions/lines/lines_parser.py @@ -70,7 +70,7 @@ def parse_evl(input_file: str): def parse_lines_df(input_file: Union[str, pd.DataFrame]) -> pd.DataFrame: """ Parses lines dataframe data. This function assumes that the input_file is output - from lines object's to_csv function or the input_file is bottom_contour output + from lines object's to_csv function or the input_file is bottom_points output from lines object's mask function. Parameters diff --git a/echoregions/regions2d/regions2d.py b/echoregions/regions2d/regions2d.py index 4728884..d881717 100644 --- a/echoregions/regions2d/regions2d.py +++ b/echoregions/regions2d/regions2d.py @@ -482,7 +482,7 @@ def mask( areas. Also contains a data variable (`mask_labels`) with mask labels corresponding to region_id values. - region_contours : pd.DataFrame + region_points : pd.DataFrame DataFrame containing region_id, depth, and time. """ if not isinstance(da_Sv, DataArray): @@ -598,12 +598,12 @@ def mask( # Convert 3d mask to 2d mask mask_ds = convert_mask_3d_to_2d(mask_ds) - # Get region_contours - region_contours = region_df[region_df["region_id"].isin(masked_region_id)][ + # Get region_points + region_points = region_df[region_df["region_id"].isin(masked_region_id)][ ["region_id", "time", "depth"] ] - return mask_ds, region_contours + return mask_ds, region_points def transect_mask( self, diff --git a/echoregions/regions2d/regions2d_parser.py b/echoregions/regions2d/regions2d_parser.py index a5f71dd..ecccd42 100644 --- a/echoregions/regions2d/regions2d_parser.py +++ b/echoregions/regions2d/regions2d_parser.py @@ -150,7 +150,7 @@ def _parse_points(line: str) -> Tuple[ndarray]: def parse_regions_df(input_file: Union[str, pd.DataFrame]) -> pd.DataFrame: """ Parses regions dataframe data. This function assumes that the input_file is output - from regions2d object's to_csv function or the input_file is region_contour output + from regions2d object's to_csv function or the input_file is region_points output from regions2d object's mask function. Parameters diff --git a/echoregions/tests/test_lines.py b/echoregions/tests/test_lines.py index 83a0b2a..9c5db8c 100644 --- a/echoregions/tests/test_lines.py +++ b/echoregions/tests/test_lines.py @@ -223,7 +223,7 @@ def test_lines_mask(lines_fixture: Lines, da_Sv_fixture: DataArray) -> None: DataArray containing Sv data of test zarr file. """ - M, bottom_contours = lines_fixture.mask( + M, bottom_points = lines_fixture.mask( da_Sv_fixture.isel(channel=0), method="slinear", limit=5, @@ -243,13 +243,13 @@ def test_lines_mask(lines_fixture: Lines, da_Sv_fixture: DataArray) -> None: assert counts[0] > counts[1] # Assert that time is datetime64 - assert pd.api.types.is_datetime64_any_dtype(bottom_contours["time"]) + assert pd.api.types.is_datetime64_any_dtype(bottom_points["time"]) # Assert that depth is float64 - assert pd.api.types.is_float_dtype(bottom_contours["depth"]) + assert pd.api.types.is_float_dtype(bottom_points["depth"]) - # Place bottom contours in Lines object - lines_2 = Lines(bottom_contours, None, input_type="CSV") + # Place bottom points in Lines object + lines_2 = Lines(bottom_points, None, input_type="CSV") # Run lines masking to check if masking runs _, _ = lines_2.mask(da_Sv_fixture.isel(channel=0)) @@ -270,7 +270,7 @@ def test_lines_mask_empty(lines_fixture: Lines, da_Sv_fixture: DataArray) -> Non # Create empty lines object lines_fixture.data = lines_fixture.data[0:0] - M, bottom_contours_1 = lines_fixture.mask(da_Sv_fixture.isel(channel=0)) + M, bottom_points_1 = lines_fixture.mask(da_Sv_fixture.isel(channel=0)) # Compute unique values unique_values = np.unique(M.compute().data, return_counts=True) @@ -283,17 +283,17 @@ def test_lines_mask_empty(lines_fixture: Lines, da_Sv_fixture: DataArray) -> Non assert len(values) == 1 and len(counts) == 1 assert values[0] == 0 - # Assert that bottom_contours is empty - assert bottom_contours_1.empty + # Assert that bottom_points is empty + assert bottom_points_1.empty - # Use bottom contours to create Lines object - lines_2 = Lines(bottom_contours_1, None, input_type="CSV") + # Use bottom points to create Lines object + lines_2 = Lines(bottom_points_1, None, input_type="CSV") # Run lines masking to check if masking runs - _, bottom_contours_2 = lines_2.mask(da_Sv_fixture.isel(channel=0)) + _, bottom_points_2 = lines_2.mask(da_Sv_fixture.isel(channel=0)) - # Assert that bottom_contours is empty - assert bottom_contours_2.empty + # Assert that bottom_points is empty + assert bottom_points_2.empty @pytest.mark.lines diff --git a/echoregions/tests/test_regions2d.py b/echoregions/tests/test_regions2d.py index 039f659..89a2678 100644 --- a/echoregions/tests/test_regions2d.py +++ b/echoregions/tests/test_regions2d.py @@ -518,18 +518,16 @@ def test_mask_empty_no_overlap(regions2d_fixture: Regions2D, da_Sv_fixture: Data assert mask_output_1 is None # Create mask with regions that have no overlap with the Sv Data Array - mask_3d_ds, region_contours_1 = regions2d_fixture.mask( - da_Sv_fixture.isel(channel=0), [8, 9, 10] - ) + mask_3d_ds, region_points_1 = regions2d_fixture.mask(da_Sv_fixture.isel(channel=0), [8, 9, 10]) # Check that this mask is empty assert mask_3d_ds.mask_3d.isnull().all() - # Check that region_contours_1 is empty - assert region_contours_1.empty + # Check that region_points_1 is empty + assert region_points_1.empty - # Use region contours to create Regions2D object - r2d_2 = Regions2D(region_contours_1, min_depth=0, max_depth=1000, input_type="CSV") + # Use region points to create Regions2D object + r2d_2 = Regions2D(region_points_1, min_depth=0, max_depth=1000, input_type="CSV") # Run Regions2d masking to check if masking runs mask_output_2 = r2d_2.mask(da_Sv_fixture.isel(channel=0)) @@ -622,10 +620,10 @@ def test_mask_2d(regions2d_fixture: Regions2D, da_Sv_fixture: DataArray) -> None @pytest.mark.regions2d -def test_mask_region_contours(regions2d_fixture: Regions2D, da_Sv_fixture: DataArray) -> None: +def test_mask_region_points(regions2d_fixture: Regions2D, da_Sv_fixture: DataArray) -> None: """ - Testing if masking, saving region contours into new regions2d, - and masking again produces the same region contours. + Testing if masking, saving region points into new regions2d, + and masking again produces the same region points. Parameters ---------- @@ -637,16 +635,16 @@ def test_mask_region_contours(regions2d_fixture: Regions2D, da_Sv_fixture: DataA # Get region_id and mask_labels # Create mask - _, region_contours_1 = regions2d_fixture.mask(da_Sv_fixture.isel(channel=0)) + _, region_points_1 = regions2d_fixture.mask(da_Sv_fixture.isel(channel=0)) - # Use region contours to create Regions2D object - r2d_2 = Regions2D(region_contours_1, min_depth=0, max_depth=1000, input_type="CSV") + # Use region points to create Regions2D object + r2d_2 = Regions2D(region_points_1, min_depth=0, max_depth=1000, input_type="CSV") # Run Regions2D masking to check if masking runs - _, region_contours_2 = r2d_2.mask(da_Sv_fixture.isel(channel=0)) + _, region_points_2 = r2d_2.mask(da_Sv_fixture.isel(channel=0)) - # Check if the two contours are equal - region_contours_1.equals(region_contours_2) + # Check if the two points are equal + region_points_1.equals(region_points_2) @pytest.mark.regions2d