From 5d288811c33d8182515d9113beb61db983a043d8 Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 09:38:25 -0500 Subject: [PATCH 01/35] Create hyper_histogram.py plot histograms for hyperspectra images given wavelengths of interest --- plantcv/plantcv/visualize/hyper_histogram.py | 196 +++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 plantcv/plantcv/visualize/hyper_histogram.py diff --git a/plantcv/plantcv/visualize/hyper_histogram.py b/plantcv/plantcv/visualize/hyper_histogram.py new file mode 100644 index 000000000..3650da8bf --- /dev/null +++ b/plantcv/plantcv/visualize/hyper_histogram.py @@ -0,0 +1,196 @@ +# Help visualize histograms for hyperspectral images + +import os +import cv2 +import numpy as np +import pandas as pd +from plantcv.plantcv._debug import _debug +from plantcv.plantcv import fatal_error, params, outputs, color_palette +from plotnine import ggplot, aes, geom_line, geom_errorbar, scale_x_continuous, scale_color_manual +from plantcv.plantcv.visualize import histogram +from plantcv.plantcv.hyperspectral import _find_closest + + +''' + == A few notes about color == + + Color Wavelength(nm) Frequency(THz) + Red 620-750 484-400 + Orange 590-620 508-484 + Yellow 570-590 526-508 + Green 495-570 606-526 + Blue 450-495 668-606 + Violet 380-450 789-668 + + f is frequency (cycles per second) + l (lambda) is wavelength (meters per cycle) + e is energy (Joules) + h (Plank's constant) = 6.6260695729 x 10^-34 Joule*seconds + = 6.6260695729 x 10^-34 m^2*kg/seconds + c = 299792458 meters per second + f = c/l + l = c/f + e = h*f + e = c*h/l + + List of peak frequency responses for each type of + photoreceptor cell in the human eye: + S cone: 437 nm + M cone: 533 nm + L cone: 564 nm + rod: 550 nm in bright daylight, 498 nm when dark adapted. + Rods adapt to low light conditions by becoming more sensitive. + Peak frequency response shifts to 498 nm. +''' + + +def _wavelength_to_rgb(wavelength, gamma=0.8): + """ + # reference: "Wavelength to RGB in Python." Noah.org, . 20 Sep 2014, 06:38 UTC. 1 Apr 2021, 19:06 . + # http://www.noah.org/wiki/Wavelength_to_RGB_in_Python + + This converts a given wavelength of light to an approximate RGB color value. The wavelength must be given in nanometers in the range from 380 nm through 750 nm + (789 THz through 400 THz). + + Based on code by Dan Bruton + http://www.physics.sfasu.edu/astro/color/spectra.html + + Inputs: + wavelength: wavelength of a visible wavelength in nanometers range: (380, 750) + gamma: (optional) gamma correction. default value = 0.8 + + Returns + :param wavelength: float + :param gamma: (optional) float + :return: tuple + """ + + wavelength = float(wavelength) + if 380 <= wavelength <= 440: + attenuation = 0.3 + 0.7 * (wavelength - 380) / (440 - 380) + R, G, B = ((-(wavelength - 440) / (440 - 380)) * attenuation) ** gamma, 0.0, (1.0 * attenuation) ** gamma + elif 440 <= wavelength <= 490: + R, G, B = 0.0, ((wavelength - 440) / (490 - 440)) ** gamma, 1.0 + elif 490 <= wavelength <= 510: + R, G, B = 0.0, 1.0, (-(wavelength - 510) / (510 - 490)) ** gamma + elif 510 <= wavelength <= 580: + R, G, B = ((wavelength - 510) / (580 - 510)) ** gamma, 1.0, 0.0 + elif 580 <= wavelength <= 645: + R, G, B = 1.0, (-(wavelength - 645) / (645 - 580)) ** gamma, 0.0 + elif 645 <= wavelength <= 750: + attenuation = 0.3 + 0.7 * (750 - wavelength) / (750 - 645) + R, G, B = (1.0 * attenuation) ** gamma, 0.0, 0.0 + else: + R, G, B = 0.0, 0.0, 0.0 + R *= 255 + G *= 255 + B *= 255 + return (int(R), int(G), int(B)) + + +def _RGB_to_webcode(RGB_values): + """ + RGB_value: a tuple of RGB values (0~255, uint8) + """ + webcode = "#" + for value in RGB_values: + code_ = hex(value).replace('0x', '') + code = code_.upper() if len(code_) > 1 else '0{}'.format(code_.upper()) + webcode += code + return webcode + + +def hyper_histogram(array, mask, wvlengths=[480, 550, 670]): + """This function calculates the histogram of selected wavelengths hyperspectral images + The color of the histogram is based on the wavelength: if the wavelength is in the range of visible spectrum + Inputs: + array = Hyperspectral data instance + mask = Binary mask made from selected contours + wvlengths = (optional) list of wavelengths to show histograms. default = [480,550,670] + + Returns: + fig_hist = histogram figure + + :param array: plantcv.plantcv.classes.Spectral_data + :param mask: numpy.array + :param wvlengths: list + :return: fig_hist: plotnine.ggplot.ggplot + """ + + # always sort desired wavelengths + wvlengths.sort() + + wl_keys = array.wavelength_dict.keys() + wls = np.array([float(i) for i in wl_keys]) + + # spectral resolution of the spectral data + diffs = [wls[i] - wls[i - 1] for i in range(1, len(wls))] + spc_res = sum(diffs) / len(diffs) + + + # check if the distance is greater than 2x the spectral resolution + checks = [array.min_wavelength-wvlengths[i]>2*spc_res or wvlengths[i]-array.max_wavelength>2*spc_res for i in range(0,len(wvlengths))] + + if sum(checks) > 0: + fatal_error(f"At least one band is too far from the available wavelength range: ({array.min_wavelength},{array.max_wavelength})!") + + # find indices of bands whose wavelengths are closest to desired ones + match_ids = [_find_closest(wls, wv) for wv in wvlengths] + + # check if in the visible wavelengths range + ids_vis = [idx for (idx,wv) in enumerate(wvlengths) if 380 <= wv <= 750] + # invisible wavelengths + ids_inv = [idx for (idx,wv) in enumerate(wvlengths) if wv < 380 or wv > 750] + + colors = [] + if len(ids_vis) < len(wvlengths): + print("Warning: at least one of the desired wavelengths is not in the visible spectrum range!") + if len(ids_inv) == len(wvlengths): # All wavelengths in invisible range + colors = [tuple(x) for x in color_palette(len(wvlengths))] + if len(colors) == 0: + i = 0 + while i < len(wvlengths): + if i in ids_vis: + colors.append(_wavelength_to_rgb(wvlengths[i], gamma=0.8)) + i += 1 + else: + c = tuple(color_palette(1)[0]) + if c not in colors: + colors.append(c) + i += 1 + + array_data = array.array_data + + # List of wavelengths recorded created from parsing the header file will be string, make list of floats + histograms = dict() + hist_dataset = pd.DataFrame(columns=['reflectance']) + debug = params.debug + params.debug = None + color_codes = [] + for i_wv, (wv, color) in enumerate(zip(wvlengths,colors)): + idx = match_ids[i_wv] + code_c = _RGB_to_webcode(color) + color_codes.append(code_c) + _, hist_data = histogram(array_data[:, :, idx], mask=mask, bins=100, hist_data=True) + histograms[wv] = {"label": wv, "graph_color": code_c, "reflectance": hist_data['pixel intensity'].tolist(), + "hist": hist_data['proportion of pixels (%)'].tolist()} + if i_wv == 0: + hist_dataset['reflectance'] = hist_data['pixel intensity'].tolist() + hist_dataset[wv] = hist_data['proportion of pixels (%)'].tolist() + + # Make the histogram figure using plotnine + df_hist = pd.melt(hist_dataset, id_vars=['reflectance'], value_vars=wvlengths, + var_name='Wavelength (' + array.wavelength_units + ')', value_name='proportion of pixels (%)') + + fig_hist = (ggplot(df_hist, aes(x='reflectance', y='proportion of pixels (%)', + color='Wavelength (' + array.wavelength_units + ')')) + + geom_line() + + scale_color_manual(color_codes) + ) + params.debug = debug + _debug(fig_hist, filename=os.path.join(params.debug_outdir, str(params.device) + '_histogram.png')) + + return fig_hist + + + From e253991efc4ef7c20834e2f9196f6ec46484ce5b Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 09:38:30 -0500 Subject: [PATCH 02/35] Update __init__.py --- plantcv/plantcv/visualize/__init__.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/plantcv/plantcv/visualize/__init__.py b/plantcv/plantcv/visualize/__init__.py index 77b8cbddb..64e74ec06 100644 --- a/plantcv/plantcv/visualize/__init__.py +++ b/plantcv/plantcv/visualize/__init__.py @@ -5,6 +5,7 @@ from plantcv.plantcv.visualize.colorspaces import colorspaces from plantcv.plantcv.visualize.auto_threshold_methods import auto_threshold_methods from plantcv.plantcv.visualize.overlay_two_imgs import overlay_two_imgs +from plantcv.plantcv.visualize.hyper_histogram import hyper_histogram __all__ = ["pseudocolor", "colorize_masks", "histogram", "clustered_contours", "colorspaces", "auto_threshold_methods", - "overlay_two_imgs"] + "overlay_two_imgs", "hyper_histogram"] From 6e3f17f5fd3c821726726c5ea58c9ec5ff0a17ae Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 09:38:34 -0500 Subject: [PATCH 03/35] Update tests.py --- tests/tests.py | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/tests/tests.py b/tests/tests.py index d4d9979fb..d3e3ca765 100755 --- a/tests/tests.py +++ b/tests/tests.py @@ -6222,6 +6222,27 @@ def test_plantcv_visualize_histogram_array(): with pytest.raises(RuntimeError): _ = pcv.visualize.histogram(img=img[0, :]) +def test_plantcv_visualize_hyper_histogram(): + # Test cache directory + cache_dir = os.path.join(TEST_TMPDIR, "test_plantcv_visualize_hyper_histogram") + os.mkdir(cache_dir) + pcv.params.debug_outdir = cache_dir + + # Read in test data + spectral_filename = os.path.join(HYPERSPECTRAL_TEST_DATA, HYPERSPECTRAL_DATA) + array = pcv.hyperspectral.read_data(filename=spectral_filename) + mask = np.ones((array.lines, array.samples)) + + fig_hist = pcv.visualize.hyper_histogram(array, mask) + assert isinstance(fig_hist, ggplot) + + # test when there are bands whose wavelengths not in visible range + fig_hist = pcv.visualize.hyper_histogram(array, mask, wvlengths=[992, 990]) + assert isinstance(fig_hist, ggplot) + + with pytest.raises(RuntimeError): + _ = pcv.visualize.hyper_histogram(array, mask, wvlengths=[200, 550]) + def test_plantcv_visualize_clustered_contours(): # Test cache directory From b616a17ab296c3724443e013099203cd0872b79d Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 14:12:28 -0500 Subject: [PATCH 04/35] Update hyper_histogram.py --- plantcv/plantcv/visualize/hyper_histogram.py | 36 ++++++++++++-------- 1 file changed, 22 insertions(+), 14 deletions(-) diff --git a/plantcv/plantcv/visualize/hyper_histogram.py b/plantcv/plantcv/visualize/hyper_histogram.py index 3650da8bf..fcf57d839 100644 --- a/plantcv/plantcv/visualize/hyper_histogram.py +++ b/plantcv/plantcv/visualize/hyper_histogram.py @@ -80,8 +80,8 @@ def _wavelength_to_rgb(wavelength, gamma=0.8): elif 645 <= wavelength <= 750: attenuation = 0.3 + 0.7 * (750 - wavelength) / (750 - 645) R, G, B = (1.0 * attenuation) ** gamma, 0.0, 0.0 - else: - R, G, B = 0.0, 0.0, 0.0 + # else: + # R, G, B = 0.0, 0.0, 0.0 R *= 255 G *= 255 B *= 255 @@ -142,22 +142,30 @@ def hyper_histogram(array, mask, wvlengths=[480, 550, 670]): # invisible wavelengths ids_inv = [idx for (idx,wv) in enumerate(wvlengths) if wv < 380 or wv > 750] - colors = [] + colors = [tuple(x) for x in color_palette(len(wvlengths))] if len(ids_vis) < len(wvlengths): print("Warning: at least one of the desired wavelengths is not in the visible spectrum range!") - if len(ids_inv) == len(wvlengths): # All wavelengths in invisible range - colors = [tuple(x) for x in color_palette(len(wvlengths))] - if len(colors) == 0: - i = 0 - while i < len(wvlengths): + # if len(ids_inv) == len(wvlengths): # All wavelengths in invisible range + # colors = [tuple(x) for x in color_palette(len(wvlengths))] + if len(ids_inv) < len(wvlengths): + colors_vis = [] + colors_inv = colors + for i in ids_vis: + # colors_vis.append(_wavelength_to_rgb(wvlengths[i], gamma=0.8)) + color_vis = _wavelength_to_rgb(wvlengths[i], gamma=0.8) + colors_vis.append(color_vis) + if color_vis in colors: + del colors_inv[colors.index(color_vis)] + colors_inv = colors_inv[0:len(ids_inv)] + colors = [] + j_vis, j_inv = 0,0 + for i in range(0,len(wvlengths)): if i in ids_vis: - colors.append(_wavelength_to_rgb(wvlengths[i], gamma=0.8)) - i += 1 + colors.append(colors_vis[j_vis]) + j_vis += 1 else: - c = tuple(color_palette(1)[0]) - if c not in colors: - colors.append(c) - i += 1 + colors.append(colors_inv[j_inv]) + j_inv += 1 array_data = array.array_data From 204644c05f49ce08a93a45b831fb9852fbadae50 Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 14:12:30 -0500 Subject: [PATCH 05/35] Update tests.py --- tests/tests.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/tests.py b/tests/tests.py index d3e3ca765..475e3ed90 100755 --- a/tests/tests.py +++ b/tests/tests.py @@ -6237,11 +6237,11 @@ def test_plantcv_visualize_hyper_histogram(): assert isinstance(fig_hist, ggplot) # test when there are bands whose wavelengths not in visible range - fig_hist = pcv.visualize.hyper_histogram(array, mask, wvlengths=[992, 990]) + fig_hist = pcv.visualize.hyper_histogram(array, mask, wvlengths=[390, 500, 640, 992, 990]) assert isinstance(fig_hist, ggplot) with pytest.raises(RuntimeError): - _ = pcv.visualize.hyper_histogram(array, mask, wvlengths=[200, 550]) + _ = pcv.visualize.hyper_histogram(array, mask, wvlengths=[200, 550]) def test_plantcv_visualize_clustered_contours(): From adb6b390d7fbf8cb7696f4f2113d3bf0c51cdafd Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 15:02:45 -0500 Subject: [PATCH 06/35] Update hyper_histogram.py --- plantcv/plantcv/visualize/hyper_histogram.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/plantcv/plantcv/visualize/hyper_histogram.py b/plantcv/plantcv/visualize/hyper_histogram.py index fcf57d839..d0a8d58ac 100644 --- a/plantcv/plantcv/visualize/hyper_histogram.py +++ b/plantcv/plantcv/visualize/hyper_histogram.py @@ -154,9 +154,11 @@ def hyper_histogram(array, mask, wvlengths=[480, 550, 670]): # colors_vis.append(_wavelength_to_rgb(wvlengths[i], gamma=0.8)) color_vis = _wavelength_to_rgb(wvlengths[i], gamma=0.8) colors_vis.append(color_vis) - if color_vis in colors: - del colors_inv[colors.index(color_vis)] - colors_inv = colors_inv[0:len(ids_inv)] + # calculate the distances between every pair of (R,G,B) colors + dists = distance.cdist(colors_vis, colors_inv, 'euclidean') + # exclude those colors "too close" to visible colors + exclude = np.argmin(dists, axis=1) + colors_inv = [c for (i,c) in enumerate(colors_inv) if i not in exclude] colors = [] j_vis, j_inv = 0,0 for i in range(0,len(wvlengths)): From 8b09425d745c79fc1c63d36d1f898a8941b61653 Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 15:05:55 -0500 Subject: [PATCH 07/35] Update hyper_histogram.py --- plantcv/plantcv/visualize/hyper_histogram.py | 1 + 1 file changed, 1 insertion(+) diff --git a/plantcv/plantcv/visualize/hyper_histogram.py b/plantcv/plantcv/visualize/hyper_histogram.py index d0a8d58ac..f65a7f627 100644 --- a/plantcv/plantcv/visualize/hyper_histogram.py +++ b/plantcv/plantcv/visualize/hyper_histogram.py @@ -9,6 +9,7 @@ from plotnine import ggplot, aes, geom_line, geom_errorbar, scale_x_continuous, scale_color_manual from plantcv.plantcv.visualize import histogram from plantcv.plantcv.hyperspectral import _find_closest +from scipy.spatial import distance ''' From 868337af1b592a6cb0318925c5dfe2b864e6f155 Mon Sep 17 00:00:00 2001 From: Hudanyun Sheng Date: Fri, 2 Apr 2021 16:30:05 -0500 Subject: [PATCH 08/35] Add new documentation images --- .../hyper_histogram/hist_default_bands.png | Bin 0 -> 33530 bytes .../hyper_histogram/hist_single_band.png | Bin 0 -> 26033 bytes .../hyper_histogram/hist_two_bands.png | Bin 0 -> 34356 bytes .../hyper_histogram/hyper.png | Bin 0 -> 3956455 bytes .../hyper_histogram/mask.png | Bin 0 -> 7580 bytes 5 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 docs/img/documentation_images/hyper_histogram/hist_default_bands.png create mode 100644 docs/img/documentation_images/hyper_histogram/hist_single_band.png create mode 100644 docs/img/documentation_images/hyper_histogram/hist_two_bands.png create mode 100644 docs/img/documentation_images/hyper_histogram/hyper.png create mode 100644 docs/img/documentation_images/hyper_histogram/mask.png diff --git 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