From e0188a97d9a12c17205e3cf6e756057b6ad119c5 Mon Sep 17 00:00:00 2001 From: Queeno11 Date: Mon, 18 Mar 2024 21:05:06 -0300 Subject: [PATCH 1/3] changes --- scripts/debug.ipynb | 145 ++++++++++++++++++++++++++++ scripts/hyperparameter_selection.py | 7 +- scripts/run_model.py | 42 ++++---- scripts/true_metrics.py | 2 +- 4 files changed, 173 insertions(+), 23 deletions(-) diff --git a/scripts/debug.ipynb b/scripts/debug.ipynb index b1155c8..299ccc3 100644 --- a/scripts/debug.ipynb +++ b/scripts/debug.ipynb @@ -529,6 +529,151 @@ "ds" ] }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "sns.histplot(0.75 + np.random.rand(1000) / 2 )" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from skimage import io, color\n", + "import matplotlib.pyplot as plt\n", + "\n", + "imgs = np.load(r\"D:\\Maestría\\Tesis\\Repo\\outputs\\mobnet_v3_large_size256_tiles1_sample5_maybe_working_test_example_3_imgs.npy\")\n", + "img = imgs[2,:,:,:3]\n", + "\n", + "# Increase the saturation\n", + "# You can adjust the factor to increase or decrease the saturation\n", + "saturation_factor = 0.5 + np.random.rand() # You can adjust this value\n", + " \n", + "img_hsv = color.rgb2hsv(img) # hue-saturation-value\n", + "img_hsv[:, :, 1] *= saturation_factor\n", + "img_hsv[:, :, 1] = np.clip(img_hsv[:, :, 1], 0, 255)\n", + "img = color.hsv2rgb(img_hsv)\n", + "\n", + "# Convert the image back to RGB color space\n", + "\n", + "# Display the original and the saturation increased image\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n", + "axes[0].imshow(img)\n", + "axes[0].set_title('Original Image')\n", + "axes[0].axis('off')\n", + "axes[1].imshow(image_saturation_increased)\n", + "axes[1].set_title('Saturation Increased Image')\n", + "axes[1].axis('off')\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[[ 99, 100, 96],\n", + " [ 98, 99, 95],\n", + " [ 96, 99, 97],\n", + " ...,\n", + " [144, 131, 129],\n", + " [239, 222, 220],\n", + " [222, 200, 201]],\n", + "\n", + " [[ 92, 93, 89],\n", + " [ 92, 92, 84],\n", + " [ 97, 97, 87],\n", + " ...,\n", + " [162, 136, 138],\n", + " [190, 172, 179],\n", + " [169, 149, 161]],\n", + "\n", + " [[111, 106, 97],\n", + " [106, 102, 94],\n", + " [103, 101, 94],\n", + " ...,\n", + " [196, 167, 175],\n", + " [229, 208, 223],\n", + " [159, 142, 158]],\n", + "\n", + " ...,\n", + "\n", + " [[ 28, 29, 23],\n", + " [ 32, 31, 29],\n", + " [ 65, 68, 63],\n", + " ...,\n", + " [142, 145, 140],\n", + " [137, 142, 135],\n", + " [135, 144, 138]],\n", + "\n", + " [[ 54, 53, 50],\n", + " [ 51, 47, 45],\n", + " [105, 99, 93],\n", + " ...,\n", + " [142, 147, 140],\n", + " [139, 145, 138],\n", + " [136, 145, 140]],\n", + "\n", + " [[121, 114, 110],\n", + " [119, 109, 107],\n", + " [124, 113, 110],\n", + " ...,\n", + " [141, 144, 139],\n", + " [143, 147, 143],\n", + " [141, 151, 149]]], dtype=uint8)" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "img" + ] + }, { "cell_type": "code", "execution_count": 8, diff --git a/scripts/hyperparameter_selection.py b/scripts/hyperparameter_selection.py index 7f94056..c33f354 100644 --- a/scripts/hyperparameter_selection.py +++ b/scripts/hyperparameter_selection.py @@ -85,6 +85,11 @@ def get_true_val_loss( return metrics_epochs + + + + + if __name__ == "__main__": import warnings @@ -97,7 +102,7 @@ def get_true_val_loss( variable = "ln_pred_inc_mean" kind = "reg" - model = "effnet_v2M" + model = "effnet_v2L" path_repo = r"/mnt/d/Maestría/Tesis/Repo/" extra = "" sat_data = "pleiades" diff --git a/scripts/run_model.py b/scripts/run_model.py index 59153fd..ae8246b 100644 --- a/scripts/run_model.py +++ b/scripts/run_model.py @@ -310,7 +310,7 @@ def get_test_data(i): ), ) - train_dataset = train_dataset.batch(16) + train_dataset = train_dataset.batch(64) if sample_size > 1: train_dataset = train_dataset.repeat(sample_size).prefetch(tf.data.AUTOTUNE) else: @@ -720,7 +720,7 @@ def run( # Run model model, history = run_model( model_function=model, - lr=0.0001, + lr=0.0001 * 5, train_dataset=train_dataset, val_dataset=val_dataset, loss=loss, @@ -749,22 +749,22 @@ def run( generate=True, ) - # Generate gridded predictions & plot examples - for year in all_years_datasets.keys(): - grid_preds = grid_predictions.generate_grid( - savename, - all_years_datasets, - all_years_extents, - image_size, - resizing_size, - nbands, - stacked_images, - year=year, - generate=True, - ) - grid_predictions.plot_all_examples( - all_years_datasets, all_years_extents, grid_preds, savename, year - ) + # # Generate gridded predictions & plot examples + # for year in all_years_datasets.keys(): + # grid_preds = grid_predictions.generate_grid( + # savename, + # all_years_datasets, + # all_years_extents, + # image_size, + # resizing_size, + # nbands, + # stacked_images, + # year=year, + # generate=True, + # ) + # grid_predictions.plot_all_examples( + # all_years_datasets, all_years_extents, grid_preds, savename, year + # ) if __name__ == "__main__": @@ -776,13 +776,13 @@ def run( variable = "ln_pred_inc_mean" kind = "reg" - model = "effnet_v2L" + model = "effnet_v2S" path_repo = r"/mnt/d/Maestría/Tesis/Repo/" - extra = "" + extra = "_years_only2013" sat_data = "pleiades" if sat_data == "pleiades": - years = [2013, 2018, 2022] + years = [2013] # , 2018, 2022] nbands = 4 elif sat_data == "landsat": years = [2013] diff --git a/scripts/true_metrics.py b/scripts/true_metrics.py index bf5daa3..1a443a3 100644 --- a/scripts/true_metrics.py +++ b/scripts/true_metrics.py @@ -636,7 +636,7 @@ def plot_results( generate=generate, ) metrics_epochs = pd.read_csv( - f"{path_dataout}/models_by_epoch/{savename}/{savename}_metrics_over_epochs.csv" + f"{path_dataout}/models_by_epoch/{savename}/{savename}_test_metrics_over_epochs.csv" ) plot_mse_over_epochs(metrics_epochs, savename, metric="mse", save=True) From 2759d2b77249a4821098aee8d40b84c29a74b380 Mon Sep 17 00:00:00 2001 From: Queeno11 Date: Mon, 18 Mar 2024 21:05:27 -0300 Subject: [PATCH 2/3] more changes in viz --- scripts/notebooks/visualizar_modelos.ipynb | 154 ++++++++++++++++++++- 1 file changed, 148 insertions(+), 6 deletions(-) diff --git a/scripts/notebooks/visualizar_modelos.ipynb b/scripts/notebooks/visualizar_modelos.ipynb index 3533f0d..4d27ff4 100644 --- a/scripts/notebooks/visualizar_modelos.ipynb +++ b/scripts/notebooks/visualizar_modelos.ipynb @@ -2,9 +2,21 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyError", + "evalue": "'PATH_PROYECTO'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[1], line 17\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[0;32m 16\u001b[0m env \u001b[38;5;241m=\u001b[39m dotenv_values(\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mD:/Maestría/Tesis/Repo/scripts/globals_win.env\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 17\u001b[0m path_proyecto \u001b[38;5;241m=\u001b[39m \u001b[43menv\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mPATH_PROYECTO\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m 18\u001b[0m path_datain \u001b[38;5;241m=\u001b[39m env[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPATH_DATAIN\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 19\u001b[0m path_dataout \u001b[38;5;241m=\u001b[39m env[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPATH_DATAOUT\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n", + "\u001b[1;31mKeyError\u001b[0m: 'PATH_PROYECTO'" + ] + } + ], "source": [ "############## Configuración ##############\n", "import sys\n", @@ -18,8 +30,10 @@ "from dotenv import dotenv_values\n", "\n", "pd.set_option(\"display.max_columns\", None)\n", - "env = dotenv_values(\"/mnt/d/Maestría/Tesis/Repo/scripts/globals.env\")\n", - "\n", + "try:\n", + " env = dotenv_values(\"/mnt/d/Maestría/Tesis/Repo/scripts/globals.env\")\n", + "except:\n", + " env = dotenv_values(r\"D:/Maestría/Tesis/Repo/scripts/globals_win.env\")\n", "path_proyecto = env[\"PATH_PROYECTO\"]\n", "path_datain = env[\"PATH_DATAIN\"]\n", "path_dataout = env[\"PATH_DATAOUT\"]\n", @@ -34,7 +48,20 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyError", + "evalue": "'PATH_NOCTURNAS'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[3], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mearthpy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mep\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mbuild_dataset\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mbd\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mutils\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mgeopandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mgpd\u001b[39;00m\n", + "File \u001b[1;32md:\\Maestría\\Tesis\\Repo\\scripts\\notebooks\\..\\build_dataset.py:24\u001b[0m\n\u001b[0;32m 22\u001b[0m path_scripts \u001b[38;5;241m=\u001b[39m env[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPATH_SCRIPTS\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 23\u001b[0m path_satelites \u001b[38;5;241m=\u001b[39m env[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPATH_SATELITES\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m---> 24\u001b[0m path_nocturnas \u001b[38;5;241m=\u001b[39m \u001b[43menv\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mPATH_NOCTURNAS\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m 25\u001b[0m path_landsat \u001b[38;5;241m=\u001b[39m env[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPATH_LANDSAT\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 26\u001b[0m path_logs \u001b[38;5;241m=\u001b[39m env[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPATH_LOGS\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n", + "\u001b[1;31mKeyError\u001b[0m: 'PATH_NOCTURNAS'" + ] + } + ], "source": [ "import earthpy.plot as ep\n", "import build_dataset as bd\n", @@ -49,6 +76,121 @@ "raster_size = 58.435144 - 58.435139 # In epsg 4326 degrees" ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "df_base = pd.read_csv(\n", + " r\"D:\\Maestría\\Tesis\\Repo\\data\\data_out\\models_by_epoch\\effnet_v2S_size256_tiles1_sample5\\effnet_v2S_size256_tiles1_sample5_val_metrics_over_epochs.csv\", \n", + " index_col=\"epoch\", \n", + " usecols=[\"epoch\", \"mse_train\", \"mse_test_rc\"],\n", + " nrows=200,\n", + ")\n", + "df_d5 = pd.read_csv(\n", + " r\"D:\\Maestría\\Tesis\\Repo\\data\\data_out\\models_by_epoch\\effnet_v2S_size256_tiles1_sample5_lr_div_5\\effnet_v2S_size256_tiles1_sample5_lr_div_5_test_metrics_over_epochs.csv\",\n", + " index_col=\"epoch\", \n", + " usecols=[\"epoch\", \"mse_train\", \"mse_test_rc\"],\n", + " nrows=200,\n", + ")\n", + "df_p5 = pd.read_csv(\n", + " r\"D:\\Maestría\\Tesis\\Repo\\data\\data_out\\models_by_epoch\\effnet_v2S_size256_tiles1_sample5_lr_por_5\\effnet_v2S_size256_tiles1_sample5_lr_por_5_test_metrics_over_epochs.csv\",\n", + " index_col=\"epoch\", \n", + " usecols=[\"epoch\", \"mse_train\", \"mse_test_rc\"],\n", + " nrows=200,\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.0005" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "0.0005" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2e-05" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "0.0001/5" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'ECM Validación (media radio censal)')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "fig, ax = plt.subplots(1,2,figsize=(12,6))\n", + "\n", + "sns.lineplot(df_base[\"mse_train\"], ax=ax[0], label=\"Baseline (lr=0.0001)\")\n", + "sns.lineplot(df_d5[\"mse_train\"], ax=ax[0], label=\"Lower (lr={:.5f})\".format(0.0001/5))\n", + "sns.lineplot(df_p5[\"mse_train\"], ax=ax[0], label=f\"Higher (lr={0.0001*5})\")\n", + "ax[0].set_ylim(0, 0.3)\n", + "ax[0].set_ylabel(\"\")\n", + "ax[0].set_title(\"ECM Entrenamiento\")\n", + "\n", + "sns.lineplot(df_base[\"mse_test_rc\"], ax=ax[1], label=f\"Baseline (lr=0.0001)\")\n", + "sns.lineplot(df_d5[\"mse_test_rc\"], ax=ax[1], label=\"Lower (lr={:.5f})\".format(0.0001/5))\n", + "sns.lineplot(df_p5[\"mse_test_rc\"], ax=ax[1], label=f\"Higher (lr={0.0001*5})\")\n", + "ax[1].set_ylim(0, 0.3)\n", + "ax[1].set_ylabel(\"\")\n", + "ax[1].set_title(\"ECM Validación (media radio censal)\")" + ] + }, { "cell_type": "code", "execution_count": null, @@ -3224,7 +3366,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.17" + "version": "3.11.4" }, "orig_nbformat": 4 }, From c27a4abddb7e4f6cbd078301c98b7c579ea3d1f8 Mon Sep 17 00:00:00 2001 From: Queeno11 Date: Mon, 18 Mar 2024 21:05:38 -0300 Subject: [PATCH 3/3] add saturation to img_agumentation --- scripts/utils.py | 103 +++++++++++++++++++++++++++-------------------- 1 file changed, 59 insertions(+), 44 deletions(-) diff --git a/scripts/utils.py b/scripts/utils.py index 3622b6a..8898db8 100644 --- a/scripts/utils.py +++ b/scripts/utils.py @@ -1,10 +1,12 @@ +import cv2 import shapely import numpy as np import geopandas as gpd -import cv2 import skimage +from skimage import color from shapely import Point + def get_dataset_extent(ds): """Return a polygon with the extent of the dataset @@ -27,21 +29,23 @@ def get_dataset_extent(ds): return polygon + def get_datasets_for_polygon(poly, extents): - ''' Devuelve el nombre del dataset que contiene el polígono seleccionado.''' - + """Devuelve el nombre del dataset que contiene el polígono seleccionado.""" + correct_datasets = [] for name, extent in extents.items(): if extent.intersects(poly): correct_datasets += [name] - - if len(correct_datasets)==0: + + if len(correct_datasets) == 0: print("Ningun dataset contiene al polígono seleccionado.") - + return correct_datasets + def random_point_from_geometry(polygon, size=100): - '''Generates a random point within the bounds of a Polygon.''' + """Generates a random point within the bounds of a Polygon.""" # Get bounds of the shapefile's polygon (minx, miny, maxx, maxy) = polygon.bounds @@ -55,6 +59,7 @@ def random_point_from_geometry(polygon, size=100): if polygon.contains(point): return x[0], y[0] + def find_nearest_idx(array, value): array = np.asarray(array) idx = (np.abs(array - value)).argmin() @@ -72,8 +77,8 @@ def find_nearest_raster(x_array, y_array, x_value, y_value, max_bias=0): y_bias = round(np.sin(angle_bias) * actual_bias) # Get the nearest index for each axis and add the bias - x_idx = np.searchsorted(x_array, x_value, side='left', sorter=None) + x_bias - y_idx = np.searchsorted(y_array, y_value, side='left', sorter=None) + y_bias + x_idx = np.searchsorted(x_array, x_value, side="left", sorter=None) + x_bias + y_idx = np.searchsorted(y_array, y_value, side="left", sorter=None) + y_bias return x_idx, y_idx @@ -85,12 +90,14 @@ def point_column_to_x_y(df): def image_from_point(dataset, point, img_size=128): - + # Find the rearest raster of this random point x, y = point - idx_x = np.searchsorted(dataset.x, x, side='left', sorter=None) - idx_y = np.searchsorted(-dataset.y, -y, side='left', sorter=None) # The y array is inverted! https://stackoverflow.com/questions/43095739/numpy-searchsorted-descending-order - + idx_x = np.searchsorted(dataset.x, x, side="left", sorter=None) + idx_y = np.searchsorted( + -dataset.y, -y, side="left", sorter=None + ) # The y array is inverted! https://stackoverflow.com/questions/43095739/numpy-searchsorted-descending-order + # Create the indexes of the box of the image idx_x_min = round(idx_x - img_size / 2) idx_x_max = round(idx_x + img_size / 2) @@ -104,70 +111,72 @@ def image_from_point(dataset, point, img_size=128): | (idx_y_min < 0) | (idx_y_max > dataset.y.size) ): - image = np.zeros(shape=(1,1,1)) + image = np.zeros(shape=(1, 1, 1)) return image - - image = dataset.isel( - x=slice(idx_x_min, idx_x_max), - y=slice(idx_y_min, idx_y_max) - ) - + image = dataset.isel(x=slice(idx_x_min, idx_x_max), y=slice(idx_y_min, idx_y_max)) + image = image.band_data return image + def get_image_bounds(image_ds): # The array y is inverted! min_x = image_ds.x[0].item() min_y = image_ds.y[-1].item() max_x = image_ds.x[-1].item() max_y = image_ds.y[0].item() - + return min_x, min_y, max_x, max_y + def assert_image_is_valid(image_dataset, n_bands, size): - ''' Check whether image is valid. For using after image_from_point. - If the image is valid, returns the image in numpy format. - ''' + """Check whether image is valid. For using after image_from_point. + If the image is valid, returns the image in numpy format. + """ try: image = image_dataset.band_data is_valid = True except: - image = np.zeros(shape=[1,100,100]) + image = np.zeros(shape=[1, 100, 100]) is_valid = False return image, is_valid -def stacked_image_from_census_tract(dataset, polygon, point=None, img_size=100, n_bands=4, stacked_images=[1,3]): - + +def stacked_image_from_census_tract( + dataset, polygon, point=None, img_size=100, n_bands=4, stacked_images=[1, 3] +): + images_to_stack = [] - total_bands = n_bands*len(stacked_images) + total_bands = n_bands * len(stacked_images) if point is None: # Sample point from the polygon's box point = random_point_from_geometry(polygon) - # point = polygon.centroid.x, polygon.centroid.y - + # point = polygon.centroid.x, polygon.centroid.y + for size_multiplier in stacked_images: - image_size = img_size*size_multiplier + image_size = img_size * size_multiplier image_da = image_from_point(dataset, point, image_size) - try: - image = image_da.to_numpy()[:n_bands,::size_multiplier,::size_multiplier] + try: + image = image_da.to_numpy()[:n_bands, ::size_multiplier, ::size_multiplier] image = image.astype(np.uint8) images_to_stack += [image] except: - image = np.zeros(shape=(n_bands,1,1)) + image = np.zeros(shape=(n_bands, 1, 1)) bounds = None return image, bounds # Get total bounds - bounds = get_image_bounds(image_da) # The last image has to be the bigger - image = np.concatenate(images_to_stack, axis=0) # Concat over bands + bounds = get_image_bounds(image_da) # The last image has to be the bigger + image = np.concatenate(images_to_stack, axis=0) # Concat over bands assert image.shape == (total_bands, img_size, img_size) - + return image, bounds + def random_image_from_census_tract(dataset, polygon, image_size): """Genera una imagen aleatoria de tamaño size centrada en un punto aleatorio del radio censal {link}. @@ -186,9 +195,10 @@ def random_image_from_census_tract(dataset, polygon, image_size): # Sample point from the polygon's box point = random_point_from_geometry(polygon) - image_da = image_from_point(dataset, point, img_size=image_size) + image_da = image_from_point(dataset, point, img_size=image_size) return image_da + def random_tiled_image_from_census_tract( ds, icpag, @@ -252,7 +262,7 @@ def random_tiled_image_from_census_tract( image_dataset = image_from_point( ds, point, max_bias=max_bias, tile_size=tile_size ) - + try: image = image_dataset.band_data except: @@ -297,7 +307,6 @@ def random_tiled_image_from_census_tract( return composition, point, boundaries, total_boundaries - def process_image(img, resizing_size, moveaxis=True): if moveaxis: img = np.moveaxis( @@ -307,7 +316,7 @@ def process_image(img, resizing_size, moveaxis=True): else: image_size = img.shape[2] - if image_size != resizing_size: #FIXME: Me las pasa a blanco y negro. Por qué? + if image_size != resizing_size: # FIXME: Me las pasa a blanco y negro. Por qué? img = cv2.resize( img, dsize=(resizing_size, resizing_size), interpolation=cv2.INTER_CUBIC ) @@ -329,11 +338,17 @@ def augment_image(img): ) # Random number between 0.4 and 2.5 (same level of contrast) img = skimage.exposure.adjust_gamma(img, gamma=rand_gamma) - # FIXME: agregar saturation # Rescale intensity rand_min = np.random.randint(0, 5) / 10 # Random number between 0 and 0.5 rand_max = np.random.randint(0, 5) / 10 # Random number between 0 and 0.5 v_min, v_max = np.percentile(img, (rand_min, 100 - rand_max)) img = skimage.exposure.rescale_intensity(img, in_range=(v_min, v_max)) - - return img \ No newline at end of file + + # Rescale saturation + rand_sat = 0.5 + np.random.rand() + img_hsv = color.rgb2hsv(img) # hue-saturation-value + img_hsv[:, :, 1] *= rand_sat + img_hsv[:, :, 1] = np.clip(img_hsv[:, :, 1], 0, 255) + img = color.hsv2rgb(img_hsv) + + return img