3c8df2fc218bd42544ac0eebb8dbfc6724c27a14,plantcv/plantcv/analyze_nir_intensity.py,,analyze_nir_intensity,#Any#Any#Any#Any#,15

Before Change

    hist_nir, hist_bins = np.histogram(masked, bins, (1, maxval))

    hist_bins1 = hist_bins[:-1]
    hist_bins2 = [float(round(l, 2)) for l in hist_bins1]

    hist_nir1 = [float(l) for l in hist_nir]

    // make hist percentage for plotting

After Change

    hist_nir = [float(l[0]) for l in cv2.calcHist([gray_img], [0], mask, [bins], [0, maxval])]
    // Create list of bin labels
    bin_width = maxval / float(bins)
    b = 0
    bin_labels = [float(b)]
    for i in range(bins - 1):
        b += bin_width
        bin_labels.append(b)

    // make hist percentage for plotting
    pixels = cv2.countNonZero(mask1)
    hist_percent = [(p / float(pixels)) * 100 for p in hist_nir]

    // No longer returning a pseudocolored image

Instances