diff --git a/openpiv/docs/src/developers.rst b/openpiv/docs/src/developers.rst index 0295baab..ddfa3509 100644 --- a/openpiv/docs/src/developers.rst +++ b/openpiv/docs/src/developers.rst @@ -43,3 +43,19 @@ Things OpenPIV currently needs, (in order of importance) * Cython wrappers for C/C++ codes. * A good graphical user interface (in progress) + +How to test all the notebooks +----------------------------- + + conda install ipykernel + python -m ipykernel install --user --name openpiv --display-name="openpiv" + jupyter nbconvert --to html --ExecutePreprocessor.kernel_name=openpiv --execute *.ipynb + +Then open the `openpiv/examples/notebooks` and check the HTML files. If one of those will fail, the error message will be in the command shell + +If you need to install cv2 +-------------------------- + + conda install -c conda-forge opencv + + diff --git a/openpiv/examples/notebooks/PIV_3D_example.ipynb b/openpiv/examples/notebooks/PIV_3D_example.ipynb index 04e4ba6e..da59ff2e 100644 --- a/openpiv/examples/notebooks/PIV_3D_example.ipynb +++ b/openpiv/examples/notebooks/PIV_3D_example.ipynb @@ -130,7 +130,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 14/14 [00:00<00:00, 166.78it/s]\n" + "100%|██████████| 14/14 [00:00<00:00, 180.99it/s]\n" ] } ], @@ -439,14 +439,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 50%|█████ | 7/14 [00:35<00:35, 5.02s/it]" + "100%|██████████| 14/14 [01:12<00:00, 5.16s/it]\n" ] } ], @@ -461,7 +461,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -473,18 +473,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "# filtering\n", - "uf, vf, wf, mask = sig2noise_val(u, v, w=w, sig2noise=sig2noise, threshold=signoise_filter)\n", + "uf, vf, wf, mask = sig2noise_val(u, v, w=w, s2n=sig2noise, threshold=signoise_filter)\n", "uf, vf, wf = replace_outliers(uf, vf, wf, max_iter=1, tol=100, kernel_size=2, method='disk')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -498,9 +498,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "ims = [np.max(relax[:, :, 60:], axis=2), np.max(alive[:, :, 60:], axis=2)]\n", "fig = plt.figure()\n", @@ -510,9 +523,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# unfiltered 3d deformation field\n", "fig11 = quiver_3D(-u, v, w, quiv_args={\"length\": 2, \"alpha\": 0.8, \"linewidth\": 1}, filter_def=0.1)" @@ -520,9 +546,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "# filtered 3d deformation field\n", "fig12 = quiver_3D(-uf, vf, wf, quiv_args={\"length\": 2, \"alpha\": 0.8, \"linewidth\": 1},\n", @@ -531,7 +570,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -586,7 +625,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.8.3" } }, "nbformat": 4, diff --git a/openpiv/examples/notebooks/all_test_cases_sample.ipynb b/openpiv/examples/notebooks/all_test_cases_sample.ipynb index c519a5c6..89b4a3d4 100644 --- a/openpiv/examples/notebooks/all_test_cases_sample.ipynb +++ b/openpiv/examples/notebooks/all_test_cases_sample.ipynb @@ -28,21 +28,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPython 3.8.5\n", + "CPython 3.8.3\n", "IPython 7.19.0\n", "\n", "numpy 1.19.4\n", - "openpiv 0.23.1a0\n", + "openpiv 0.23.2rc1\n", "\n", - "compiler : GCC 7.3.0\n", + "compiler : GCC 7.5.0\n", "system : Linux\n", - "release : 5.4.0-54-generic\n", + "release : 5.4.0-56-generic\n", "machine : x86_64\n", "processor : x86_64\n", "CPU cores : 8\n", "interpreter: 64bit\n", - "Git hash : 6edda3f747a61489b040b4d59a7a6d0442e8e341\n", - "Git branch : sig2noise_validation\n" + "Git hash : b750f179dc14baecdad6dbf0bb96622bcc199fd4\n", + "Git branch : windef_with_mask\n" ] } ], @@ -304,7 +304,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.8.3" } }, "nbformat": 4, diff --git a/openpiv/examples/notebooks/case_B_windef_small_window.ipynb b/openpiv/examples/notebooks/case_B_windef_small_window.ipynb index 9b497acd..f5fe102a 100644 --- a/openpiv/examples/notebooks/case_B_windef_small_window.ipynb +++ b/openpiv/examples/notebooks/case_B_windef_small_window.ipynb @@ -71,7 +71,7 @@ "'Processing Parameters'\n", "settings.correlation_method='circular' # 'circular' or 'linear'\n", "settings.normalized_correlation = True\n", - "settings.iterations = 3 # select the number of PIV passes\n", + "settings.num_iterations = 3 # select the number of PIV passes\n", "# add the interrogation window size for each pass. \n", "# For the moment, it should be a power of 2 \n", "\n", @@ -366,7 +366,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.8.3" } }, "nbformat": 4, diff --git a/openpiv/examples/notebooks/vonKarman_pivlab_with_openpiv.ipynb b/openpiv/examples/notebooks/vonKarman_pivlab_with_openpiv.ipynb index 2f2ed429..f5e77e63 100644 --- a/openpiv/examples/notebooks/vonKarman_pivlab_with_openpiv.ipynb +++ b/openpiv/examples/notebooks/vonKarman_pivlab_with_openpiv.ipynb @@ -105,7 +105,7 @@ "settings.deformation_method = 'symmetric' # or 'second image'\n", "\n", "\n", - "settings.iterations = 4 # select the number of PIV passes\n", + "settings.num_iterations = 4 # select the number of PIV passes\n", "\n", "# add the interrogation window size for each pass. \n", "# For the moment, it should be a power of 2 \n", @@ -415,7 +415,7 @@ " frame_b,\n", " settings.windowsizes[0],\n", " settings.overlap[0],\n", - " settings.iterations,\n", + " settings.num_iterations,\n", " correlation_method=settings.correlation_method,\n", " subpixel_method=settings.subpixel_method,\n", " do_sig2noise=settings.extract_sig2noise,\n", @@ -989,7 +989,7 @@ "outputs": [], "source": [ "# \"filter to replace the values that where marked by the validation\"\n", - "# if settings.iterations > 1:\n", + "# if settings.num_iterations > 1:\n", "\n", "\n", "u, v = filters.replace_outliers(\n", @@ -1272,13 +1272,13 @@ } ], "source": [ - "for i in range(1, settings.iterations): ## all other passes\n", + "for i in range(1, settings.num_iterations): ## all other passes\n", " x, y, u, v, sig2noise_ratio = windef.multipass_img_deform(\n", " frame_a,\n", " frame_b,\n", " settings.windowsizes[i],\n", " settings.overlap[i],\n", - " settings.iterations,\n", + " settings.num_iterations,\n", " i,\n", " x,\n", " y,\n", @@ -1304,8 +1304,8 @@ " \n", " if (\n", " settings.extract_sig2noise is True\n", - " and i == settings.iterations\n", - " and settings.iterations != 1\n", + " and i == settings.num_iterations\n", + " and settings.num_iterations != 1\n", " and settings.do_sig2noise_validation is True\n", " ):\n", " u, v, mask_s2n = validation.sig2noise_val(\n", @@ -1340,7 +1340,7 @@ " kernel_size=settings.filter_kernel_size,\n", " )\n", " \n", - " if (i != settings.iterations) and (settings.smoothn is True):\n", + " if (i != settings.num_iterations) and (settings.smoothn is True):\n", " u, _, _, _ = smoothn.smoothn(\n", " u, s=settings.smoothn_p )\n", " v, _, _, _ = smoothn.smoothn(\n", diff --git a/openpiv/examples/notebooks/window_deformation_comparison.ipynb b/openpiv/examples/notebooks/window_deformation_comparison.ipynb index ad2cc3eb..4b7bc12f 100644 --- a/openpiv/examples/notebooks/window_deformation_comparison.ipynb +++ b/openpiv/examples/notebooks/window_deformation_comparison.ipynb @@ -69,7 +69,7 @@ "settings.correlation_method='circular' # 'circular' or 'linear'\n", "settings.normalized_correlation=False\n", "\n", - "settings.iterations = 2 # select the number of PIV passes\n", + "settings.num_iterations = 2 # select the number of PIV passes\n", "# add the interroagtion window size for each pass. \n", "# For the moment, it should be a power of 2 \n", "settings.windowsizes = (64, 32, 16) # if longer than n iteration the rest is ignored\n", diff --git a/openpiv/test/test_windef.ipynb b/openpiv/test/test_windef.ipynb deleted file mode 100644 index 224627d4..00000000 --- a/openpiv/test/test_windef.ipynb +++ /dev/null @@ -1,611 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# %load test_windef.py\n", - "\"\"\"\n", - "Created on Fri Oct 4 14:33:21 2019\n", - "\n", - "@author: Theo\n", - "\"\"\"\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import numpy as np\n", - "import openpiv.windef as windef\n", - "from test_process import create_pair, shift_u, shift_v, threshold\n", - "from openpiv.pyprocess import get_coordinates, extended_search_area_piv, get_field_shape\n", - "from openpiv import validation, filters\n", - "import scipy.ndimage as scn\n", - "# from openpiv.windef import frame_interpolation\n", - "\n", - "from scipy.interpolate import RectBivariateSpline" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "frame_a, frame_b = create_pair(image_size=256)\n", - "\n", - "# this test are created only to test the displacement evaluation of the\n", - "# function the validation methods are not tested here ant therefore\n", - "# are disabled." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# circular cross correlation\n", - "def test_first_pass_circ():\n", - " \"\"\" test of the first pass \"\"\"\n", - " x, y, u, v, s2n = windef.first_pass(\n", - " frame_a,\n", - " frame_b,\n", - " window_size=64,\n", - " overlap=32,\n", - " iterations=1,\n", - " correlation_method=\"circular\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=True,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " )\n", - " # print(\"\\n\", x, y, u, v, s2n)\n", - " plt.quiver(x,y,u,v)\n", - " \n", - " assert np.mean(np.abs(u - shift_u)) < threshold\n", - " assert np.mean(np.abs(v - shift_v)) < threshold" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "test_first_pass_circ()" - ] - }, - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "def multipass_img_deform(\n", - " frame_a,\n", - " frame_b,\n", - " window_size,\n", - " overlap,\n", - " iterations,\n", - " current_iteration,\n", - " x_old,\n", - " y_old,\n", - " u_old,\n", - " v_old,\n", - " correlation_method=\"circular\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=False,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " MinMaxU=(-100, 50),\n", - " MinMaxV=(-50, 50),\n", - " std_threshold=5,\n", - " median_threshold=2,\n", - " median_size=1,\n", - " filter_method=\"localmean\",\n", - " max_filter_iteration=10,\n", - " filter_kernel_size=2,\n", - " interpolation_order=3,\n", - "):\n", - " \"\"\"\n", - " Multi pass of the PIV evaluation.\n", - "\n", - " This function does the PIV evaluation of the second and other passes.\n", - " It returns the coordinates of the interrogation window centres,\n", - " the displacement u, v for each interrogation window as well as\n", - " the mask which indicates\n", - " wether the displacement vector was interpolated or not.\n", - "\n", - "\n", - " Parameters\n", - " ----------\n", - " frame_a : 2d np.ndarray\n", - " the first image\n", - "\n", - " frame_b : 2d np.ndarray\n", - " the second image\n", - "\n", - " window_size : tuple of ints\n", - " the size of the interrogation window\n", - "\n", - " overlap : tuple of ints\n", - " the overlap of the interrogation window, e.g. window_size/2\n", - "\n", - " x_old : 2d np.ndarray\n", - " the x coordinates of the vector field of the previous pass\n", - "\n", - " y_old : 2d np.ndarray\n", - " the y coordinates of the vector field of the previous pass\n", - "\n", - " u_old : 2d np.ndarray\n", - " the u displacement of the vector field of the previous pass\n", - "\n", - " v_old : 2d np.ndarray\n", - " the v displacement of the vector field of the previous pass\n", - "\n", - " subpixel_method: string\n", - " the method used for the subpixel interpolation.\n", - " one of the following methods to estimate subpixel location of the peak:\n", - " 'centroid' [replaces default if correlation map is negative],\n", - " 'gaussian' [default if correlation map is positive],\n", - " 'parabolic'\n", - "\n", - " MinMaxU : two elements tuple\n", - " sets the limits of the u displacment component\n", - " Used for validation.\n", - "\n", - " MinMaxV : two elements tuple\n", - " sets the limits of the v displacment component\n", - " Used for validation.\n", - "\n", - " std_threshold : float\n", - " sets the threshold for the std validation\n", - "\n", - " median_threshold : float\n", - " sets the threshold for the median validation\n", - "\n", - " filter_method : string\n", - " the method used to replace the non-valid vectors\n", - " Methods:\n", - " 'localmean',\n", - " 'disk',\n", - " 'distance',\n", - "\n", - " max_filter_iteration : int\n", - " maximum of filter iterations to replace nans\n", - "\n", - " filter_kernel_size : int\n", - " size of the kernel used for the filtering\n", - "\n", - " interpolation_order : int\n", - " the order of the spline interpolation used for the image deformation\n", - "\n", - " Returns\n", - " -------\n", - " x : 2d np.array\n", - " array containg the x coordinates of the interrogation window centres\n", - "\n", - " y : 2d np.array\n", - " array containg the y coordinates of the interrogation window centres\n", - "\n", - " u : 2d np.array\n", - " array containing the u displacement for every interrogation window\n", - "\n", - " u : 2d np.array\n", - " array containing the u displacement for every interrogation window\n", - "\n", - " mask : 2d np.array\n", - " array containg the mask values (bool) which contains information if\n", - " the vector was filtered\n", - "\n", - " \"\"\"\n", - "\n", - " x, y = get_coordinates(np.shape(frame_a), window_size, overlap)\n", - "\n", - " \"calculate the y and y coordinates of the interrogation window centres\"\n", - " \"\"\"The interpolation function dont like meshgrids as input. Hence, the\n", - " edges must be extracted to provide the sufficient input. x_old and y_old\n", - " are the coordinates of the old grid. x_int and y_int are the coordinates\n", - " of the new grid\"\"\"\n", - " \n", - " import pdb\n", - " # pdb.set_trace()\n", - " \n", - " print(f\"Iteration {current_iteration}\")\n", - " \n", - "\n", - " y_old = y_old[:, 0]\n", - " # y_old = y_old[::-1]\n", - " x_old = x_old[0, :]\n", - " \n", - " print(x_old,y_old)\n", - " \n", - " \n", - " y_int = y[:, 0]\n", - " # y_int = y_int[::-1]\n", - " x_int = x[0, :]\n", - " \n", - " print(x_int,y_int)\n", - "\n", - " # interpolating the displacements from the old grid onto the new grid\n", - " # y befor x because of numpy works row major\n", - " ip = RectBivariateSpline(y_old, x_old, u_old, kx=2, ky=2)\n", - " u_pre = ip(y_int, x_int)\n", - "\n", - " ip2 = RectBivariateSpline(y_old, x_old, v_old, kx=2, ky=2)\n", - " v_pre = ip2(y_int, x_int)\n", - "\n", - " # this one is doing the image deformation (see above)\n", - " frame_b_deform = frame_interpolation(\n", - " frame_b, x, y, u_pre, v_pre, interpolation_order=interpolation_order\n", - " )\n", - "\n", - " if do_sig2noise is True and \\\n", - " current_iteration == iterations and \\\n", - " iterations != 1:\n", - " sig2noise_method = sig2noise_method\n", - " else:\n", - " sig2noise_method = None\n", - "\n", - " u, v, s2n = extended_search_area_piv(\n", - " frame_a, frame_b_deform,\n", - " window_size=window_size,\n", - " overlap=overlap,\n", - " search_area_size=window_size,\n", - " width=sig2noise_mask,\n", - " subpixel_method=subpixel_method,\n", - " sig2noise_method=sig2noise_method\n", - " )\n", - "\n", - " shapes = np.array(get_field_shape(frame_a.shape, window_size, overlap))\n", - " u = u.reshape(shapes)\n", - " v = v.reshape(shapes)\n", - " s2n = s2n.reshape(shapes)\n", - "\n", - " # adding the recent displacment on to the displacment of the previous pass\n", - " u += u_pre\n", - " v -= v_pre\n", - "\n", - " # validation using gloabl limits and local median\n", - " u, v, mask_g = validation.global_val(u, v, MinMaxU, MinMaxV)\n", - " u, v, mask_s = validation.global_std(u, v, std_threshold=std_threshold)\n", - " u, v, mask_m = validation.local_median_val(\n", - " u,\n", - " v,\n", - " u_threshold=median_threshold,\n", - " v_threshold=median_threshold,\n", - " size=median_size,\n", - " )\n", - "\n", - " # adding masks to add the effect of alle the validations\n", - " mask = mask_g + mask_m + mask_s\n", - "\n", - " # mask=np.zeros_like(u)\n", - " # filter to replace the values that where marked by the validation\n", - " if current_iteration != iterations:\n", - " # filter to replace the values that where marked by the validation\n", - " u, v = filters.replace_outliers(\n", - " u,\n", - " v,\n", - " method=filter_method,\n", - " max_iter=max_filter_iteration,\n", - " kernel_size=filter_kernel_size,\n", - " )\n", - "\n", - " return x, y, u, v, s2n, mask\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "def test_multi_pass_circ():\n", - " \"\"\" test fot the multipass \"\"\"\n", - " window_size = (128, 64, 32)\n", - " overlap = (64, 32, 16)\n", - " iterations = 3\n", - "\n", - " x, y, u, v, s2n = windef.first_pass(\n", - " frame_a,\n", - " frame_b,\n", - " window_size[0],\n", - " overlap[0],\n", - " iterations,\n", - " correlation_method=\"circular\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=True,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " )\n", - " u_old = u.copy()\n", - " v_old = v.copy()\n", - " plt.figure()\n", - " plt.quiver(x,y,u,v,color='r')\n", - " \n", - " for i in range(2, iterations + 1):\n", - " x, y, u, v, s2n, mask = windef.multipass_img_deform(\n", - " frame_a,\n", - " frame_b,\n", - " window_size[i - 1],\n", - " overlap[i - 1],\n", - " iterations,\n", - " i,\n", - " x,\n", - " y,\n", - " u,\n", - " v,\n", - " correlation_method=\"circular\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=False,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " MinMaxU=(-100, 50),\n", - " MinMaxV=(-50, 50),\n", - " std_threshold=1000000,\n", - " median_threshold=200000,\n", - " median_size=1,\n", - " filter_method=\"localmean\",\n", - " max_filter_iteration=10,\n", - " filter_kernel_size=2,\n", - " interpolation_order=3,\n", - " )\n", - " plt.figure()\n", - " plt.quiver(x,y,u,v,color='b')\n", - "\n", - " # print(\"\\n\", x, y, u, v, s2n)\n", - " \n", - " assert np.mean(np.abs(u - shift_u)) < threshold and np.any(u != u_old)\n", - " assert np.mean(np.abs(v - shift_v)) < threshold and np.any(v != v_old)\n", - " # the second condition is to check if the multipass is done.\n", - " # It need's a little numerical inaccuracy." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n"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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "test_multi_pass_circ()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# linear cross correlation\n", - "def test_first_pass_lin():\n", - " \"\"\" test of the first pass \"\"\"\n", - " x, y, u, v, s2n = windef.first_pass(\n", - " frame_a,\n", - " frame_b,\n", - " window_size=64,\n", - " overlap=32,\n", - " iterations=1,\n", - " correlation_method=\"linear\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=True,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " )\n", - " print(\"\\n\", x, y, u, v, s2n)\n", - " plt.quiver(x,y,u,v)\n", - " assert np.mean(np.abs(u - shift_u)) < threshold\n", - " assert np.mean(np.abs(v - shift_v)) < threshold\n", - "\n", - "\n", - "def test_multi_pass_lin():\n", - " \"\"\" test fot the multipass \"\"\"\n", - " window_size = (128, 64, 32)\n", - " overlap = (64, 32, 16)\n", - " iterations = 3\n", - "\n", - " x, y, u, v, s2n = windef.first_pass(\n", - " frame_a,\n", - " frame_b,\n", - " window_size[0],\n", - " overlap[0],\n", - " iterations,\n", - " correlation_method=\"linear\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=True,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " )\n", - " u_old = u.copy()\n", - " v_old = v.copy()\n", - " i = 1\n", - " for i in range(2, iterations + 1):\n", - " x, y, u, v, sn, m = windef.multipass_img_deform(\n", - " frame_a,\n", - " frame_b,\n", - " window_size[i - 1],\n", - " overlap[i - 1],\n", - " iterations,\n", - " i,\n", - " x,\n", - " y,\n", - " u,\n", - " v,\n", - " correlation_method=\"linear\",\n", - " subpixel_method=\"gaussian\",\n", - " do_sig2noise=False,\n", - " sig2noise_method=\"peak2peak\",\n", - " sig2noise_mask=2,\n", - " MinMaxU=(-100, 50),\n", - " MinMaxV=(-50, 50),\n", - " std_threshold=1000000,\n", - " median_threshold=200000,\n", - " median_size=1,\n", - " filter_method=\"localmean\",\n", - " max_filter_iteration=10,\n", - " filter_kernel_size=2,\n", - " interpolation_order=3,\n", - " )\n", - "\n", - " print(\"\\n\", x, y, u, v, s2n)\n", - " plt.quiver(x,y,u,v)\n", - " assert np.max(np.abs(u - shift_u)) < threshold and np.any(u != u_old)\n", - " assert np.max(np.abs(v - shift_v)) < threshold and np.any(v != v_old)\n", - "\n", - " # the second condition is to check if the multipass is done.\n", - " # It need's a little numerical inaccuracy." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - " [[ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]\n", - " [ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]\n", - " [ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]\n", - " [ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]\n", - " [ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]\n", - " [ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]\n", - " [ 31.5 63.5 95.5 127.5 159.5 191.5 223.5]] [[ 31.5 31.5 31.5 31.5 31.5 31.5 31.5]\n", - " [ 63.5 63.5 63.5 63.5 63.5 63.5 63.5]\n", - " [ 95.5 95.5 95.5 95.5 95.5 95.5 95.5]\n", - " [127.5 127.5 127.5 127.5 127.5 127.5 127.5]\n", - " [159.5 159.5 159.5 159.5 159.5 159.5 159.5]\n", - " [191.5 191.5 191.5 191.5 191.5 191.5 191.5]\n", - " [223.5 223.5 223.5 223.5 223.5 223.5 223.5]] [[-5.62150081 -5.63118854 -5.62711791 -5.61035926 -5.60842178 -5.64271644\n", - " -5.6286937 ]\n", - " [-5.61766025 -5.64184492 -5.62928086 -5.37469241 -5.61659489 -5.63686507\n", - " -5.63101431]\n", - " [-5.6254699 -5.65763585 -5.62191295 -5.61393824 -5.61914938 -5.60429813\n", - " -5.64055421]\n", - " [-5.62509928 -5.60967399 -5.59611104 -5.6095403 -5.64228957 -5.60900026\n", - " -5.60216998]\n", - " [-5.62244183 -5.62372048 -5.61031928 -5.61108526 -5.37292814 -5.64033133\n", - " -5.39686542]\n", - " [-5.38230552 -5.61752006 -5.62347095 -5.61228985 -5.61453877 -5.63714391\n", - " 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "test_first_pass_lin()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:windef] *", - "language": "python", - "name": "conda-env-windef-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/openpiv/validation.py b/openpiv/validation.py index 59dd8a26..86850da2 100644 --- a/openpiv/validation.py +++ b/openpiv/validation.py @@ -131,7 +131,7 @@ def global_std(u, v, std_threshold=3): return u, v, mask -def sig2noise_val(u, v, sig2noise, w=None, threshold=1.05): +def sig2noise_val(u, v, s2n, w=None, threshold=1.05): """Eliminate spurious vectors from cross-correlation signal to noise ratio. Replace spurious vectors with zero if signal to noise ratio @@ -145,7 +145,7 @@ def sig2noise_val(u, v, sig2noise, w=None, threshold=1.05): v : 2d or 3d np.ndarray a two or three dimensional array containing the v velocity component. - sig2noise : 2d np.ndarray + s2n : 2d np.ndarray a two or three dimensional array containing the value of the signal to noise ratio from cross-correlation function. w : 2d or 3d np.ndarray @@ -180,7 +180,7 @@ def sig2noise_val(u, v, sig2noise, w=None, threshold=1.05): """ - ind = sig2noise < threshold + ind = s2n < threshold u[ind] = np.nan v[ind] = np.nan diff --git a/openpiv/windef.py b/openpiv/windef.py index 8dfa7c40..c3ef9df8 100644 --- a/openpiv/windef.py +++ b/openpiv/windef.py @@ -74,7 +74,7 @@ def func(args): filter_size=settings.dynamic_masking_filter_size, threshold=settings.dynamic_masking_threshold, ) - frame_b = preprocess.dynamic_masking( + frame_b, mask_b = preprocess.dynamic_masking( frame_b, method=settings.dynamic_masking_method, filter_size=settings.dynamic_masking_filter_size, @@ -82,12 +82,12 @@ def func(args): ) # "first pass" - x, y, u, v, sig2noise_ratio = first_pass( + x, y, u, v, s2n = first_pass( frame_a, frame_b, settings.windowsizes[0], settings.overlap[0], - settings.iterations, + settings.num_iterations, correlation_method=settings.correlation_method, subpixel_method=settings.subpixel_method, do_sig2noise=settings.extract_sig2noise, @@ -96,8 +96,21 @@ def func(args): normalized_correlation=settings.normalized_correlation ) - "validation using gloabl limits and std and local median" - """MinMaxU : two elements tuple + # " Image masking " + if hasattr(settings, 'image_mask') and settings.image_mask: + image_mask = np.logical_and(mask_a, mask_b) + mask_coords = preprocess.mask_coordinates(image_mask) + # mark those points on the grid of PIV inside the mask + xymask = points_in_poly(np.c_[y.flatten(), x.flatten()], mask_coords) + tmp = np.zeros_like(x,dtype=bool) + tmp.flat[xymask] = True + u = np.ma.masked_array(u, mask=tmp) + v = np.ma.masked_array(v, mask=tmp) + + """ + validation using gloabl limits and std and local median + + MinMaxU : two elements tuple sets the limits of the u displacment component Used for validation. @@ -122,7 +135,8 @@ def func(args): maximum of filter iterations to replace nans filter_kernel_size : int - size of the kernel used for the filtering""" + size of the kernel used for the filtering + """ mask = np.full_like(x, False) if settings.validation_first_pass is True: @@ -139,20 +153,24 @@ def func(args): v_threshold=settings.median_threshold, size=settings.median_size, ) + mask = mask + mask_g + mask_m + mask_s + if ( settings.extract_sig2noise is True - and settings.iterations == 1 + and settings.num_iterations == 1 and settings.do_sig2noise_validation is True ): u, v, mask_s2n = validation.sig2noise_val( - u, v, sig2noise_ratio, + u, v, s2n, threshold=settings.sig2noise_threshold ) - mask = mask + mask_g + mask_m + mask_s + mask_s2n - else: - mask = mask + mask_g + mask_m + mask_s - "filter to replace the values that where marked by the validation" - if settings.iterations > 1: + mask += mask_s2n + + + # "filter to replace the values that where marked by the validation" + if settings.num_iterations == 1 and settings.replace_vectors is True: + # for multi-pass we cannot have holes in the data + # after the first pass u, v = filters.replace_outliers( u, v, @@ -160,15 +178,7 @@ def func(args): max_iter=settings.max_filter_iteration, kernel_size=settings.filter_kernel_size, ) - "adding masks to add the effect of all the validations" - if settings.smoothn is True: - u, dummy_u1, dummy_u2, dummy_u3 = smoothn.smoothn( - u, s=settings.smoothn_p - ) - v, dummy_v1, dummy_v2, dummy_v3 = smoothn.smoothn( - v, s=settings.smoothn_p - ) - elif settings.iterations == 1 and settings.replace_vectors is True: + elif settings.num_iterations > 1: # don't even check if it's true or false u, v = filters.replace_outliers( u, v, @@ -176,30 +186,31 @@ def func(args): max_iter=settings.max_filter_iteration, kernel_size=settings.filter_kernel_size, ) - "adding masks to add the effect of all the validations" - if settings.smoothn is True: - u, v = filters.replace_outliers( - u, - v, - method=settings.filter_method, - max_iter=settings.max_filter_iteration, - kernel_size=settings.filter_kernel_size, - ) - u, dummy_u1, dummy_u2, dummy_u3 = smoothn.smoothn( - u, s=settings.smoothn_p - ) - v, dummy_v1, dummy_v2, dummy_v3 = smoothn.smoothn( - v, s=settings.smoothn_p - ) - # "all the following passes" - for i in range(1, settings.iterations): - x, y, u, v, sig2noise_ratio = multipass_img_deform( + # "adding masks to add the effect of all the validations" + if settings.smoothn is True: + u, dummy_u1, dummy_u2, dummy_u3 = smoothn.smoothn( + u, s=settings.smoothn_p + ) + v, dummy_v1, dummy_v2, dummy_v3 = smoothn.smoothn( + v, s=settings.smoothn_p + ) + + # plt.figure() + # plt.quiver(x,y,u,v) + # plt.gca().invert_yaxis() + # plt.title('after first pass') + # plt.show() + + """ Multi pass """ + + for i in range(1, settings.num_iterations): + x, y, u, v, s2n = multipass_img_deform( frame_a, frame_b, settings.windowsizes[i], settings.overlap[i], - settings.iterations, + settings.num_iterations, i, x, y, @@ -214,6 +225,7 @@ def func(args): interpolation_order=settings.interpolation_order, normalized_correlation=settings.normalized_correlation ) + mask = np.full_like(x, False, dtype=bool) # validation every step u, v, mask_g = validation.global_val( @@ -230,14 +242,33 @@ def func(args): size=settings.median_size, ) mask = mask + mask_s + mask_m + mask_g + + if settings.do_sig2noise_validation is True: + + u, v, mask_s2n = validation.sig2noise_val( + u, v, s2n, threshold=settings.sig2noise_threshold + ) + mask = mask + mask_s2n + + # we have to replace outliers + u, v = filters.replace_outliers( + u, + v, + method=settings.filter_method, + max_iter=settings.max_filter_iteration, + kernel_size=settings.filter_kernel_size, + ) + # If the smoothing is active, we do it at each pass - if settings.smoothn is True: + # but not the last one + if settings.smoothn is True and i < settings.num_iterations-1: u, dummy_u1, dummy_u2, dummy_u3 = smoothn.smoothn( u, s=settings.smoothn_p ) v, dummy_v1, dummy_v2, dummy_v3 = smoothn.smoothn( v, s=settings.smoothn_p ) + if ( settings.extract_sig2noise is True and i == settings.iterations @@ -251,35 +282,35 @@ def func(args): mask = mask + mask_s2n # replace also every loop - if settings.replace_vectors is True: - u, v = filters.replace_outliers( - u, - v, - method=settings.filter_method, - max_iter=settings.max_filter_iteration, - kernel_size=settings.filter_kernel_size, - ) + u, v = filters.replace_outliers( + u, + v, + method=settings.filter_method, + max_iter=settings.max_filter_iteration, + kernel_size=settings.filter_kernel_size, + ) - "pixel/frame->pixel/sec" + # "pixel/frame->pixel/sec" u = u / settings.dt v = v / settings.dt - "scales the results pixel-> meter" + + # "scales the results pixel-> meter" x, y, u, v = scaling.uniform(x, y, u, v, scaling_factor=settings.scaling_factor) - "save to a file" + + # "save to a file" save( x, y, u, v, - sig2noise_ratio, + s2n, mask, os.path.join(save_path, "field_A%03d.txt" % counter), delimiter="\t", ) - "some messages to check if it is still alive" - - "some other stuff that one might want to use" + + # "some other stuff that one might want to use" if settings.show_plot is True or settings.save_plot is True: plt.close("all") plt.ioff() @@ -295,11 +326,11 @@ def func(args): print("Image Pair " + str(counter + 1)) - "Below is code to read files and create a folder to store the results" + # "Below is code to read files and create a folder to store the results" save_path = os.path.join( settings.save_path, "Open_PIV_results_" - + str(settings.windowsizes[settings.iterations-1]) + + str(settings.windowsizes[settings.num_iterations-1]) + "_" + settings.save_folder_suffix, ) @@ -629,6 +660,7 @@ def multipass_img_deform( y_int = y[:, 0] x_int = x[0, :] + # interpolating the displacements from the old grid onto the new grid # y befor x because of numpy works row major ip = RectBivariateSpline(y_old, x_old, u_old, kx=2, ky=2) @@ -644,8 +676,9 @@ def multipass_img_deform( # if settings.show_plot: # plt.figure() # plt.quiver(x_old, y_old, u_old, v_old,color='b') - # plt.quiver(x_int, y_int, u_pre, v_pre,color='r') + # plt.quiver(x_int, y_int, u_pre, v_pre,color='r',lw=2) # plt.gca().invert_yaxis() + # plt.title('inside deform') # plt.gca().set_aspect(1.) # @TKauefer added another method to the windowdeformation, 'symmetric' @@ -890,7 +923,7 @@ def __init__(self): "Processing Parameters" settings.correlation_method = "circular" # 'circular' or 'linear' settings.normalized_correlation = False - settings.iterations = 3 # select the number of PIV passes + settings.num_iterations = 3 # select the number of PIV passes # add the interroagtion window size for each pass. # For the moment, it should be a power of 2 settings.windowsizes = ( diff --git a/setup.py b/setup.py index 3289f7c2..c6e6b091 100644 --- a/setup.py +++ b/setup.py @@ -22,7 +22,7 @@ setup( name="OpenPIV", - version='0.23.2b', + version='0.23.3', cmdclass={'build_ext': build_ext}, ext_modules=extensions, packages=find_packages(),