Color histogram python opencv. spatial import distance as dist import matplotlib.

Equalize the Histogram by using the OpenCV function cv::equalizeHist. In the “src” folder, there are 2 Python classes which are: color_classification_webcam. calcHist() to find the histogram of the full image. Apr 2, 2017 · I am beginner in python and image processing. 2D Histogram in OpenCV. stretch contrast. 22. Image is scaled by 4x for display. (Both methods increase the contrast of the images. This post covers an OpenCV histogram example from start to finish. borrow from video compression. OpenCV employs two effective global threshold searching methods - Otsu's method, and the Triangle method. A dataset with images in various color spaces is useful to understand and visualize the impact of changing color spaces using cv2. pyplot. equalizeHist(img_yuv[:,:,0]) hist_eq = cv2. An open-source library in Python, OpenCV is basically used for image and video processing. import cv2. Otsu's method assumes that it's working on bi-modal images. While calling calcHist (), parameters are : Mar 14, 2024 · We now use the function np. To compute and plot the histograms of different colors of an image, one could follow the steps given bel May 19, 2017 · for a project I want to implement a color-clustering algorithm, which replace similar colors with the average color of a cluster. py: Demuestra cómo calcular los histogramas de color de una imagen a color (particularmente en espacio RGB). Display the output image using the cv2. You can think of f(x) as the source image pixels and g(x) as the output image pixels. Make your own inRange() function. Code: import cv2,cv. Mar 4, 2017 · @WonChulChung You can do that by first making a mask for the red color, then make a mask for the blue color, then remove the first mask from the original image replace all values with white and then use the second mask (red) and remove all red pixels to white, hope this helps someone else as well. Application of Mask . Aug 7, 2019 · To split the color channels into BGR, we can use cv2. The code is similar for plotting the histogram of our original image. Sep 27, 2022 · How to plot histograms of different colors of an image in OpenCV Python - To compute the histogram in OpenCV, we use the cv2. I did the histogram function but I do not know how to find the percentage of the brown color in the image. For this method, the number of possible values for a channel should be a power of 2. OpenCV doesn't have any function for contrast stretching and google yields the same result because histogram equalization does stretch the histogram horizontally but its just the difference of the transformation function. If you see a new color, store its value, with counter equal to 1. bilateralFilter function with the parameters 15, 75, and 75. In this step, the image is divided into 8×8 cells and a histogram of gradients is calculated for each 8×8 cells. Load the input image using the cv2. histogram(clt. This is the final product: Real-time video histograms using OpenCV-Python. png. shape[:2], dtype="uint8") and now compute histogram by passing original image, and the curresponding mask. arange(0, len(np. The sample below shows how to compute a 2D Hue-Saturation histogram for a color image. imshow function and wait for a key press using the cv2. Try to segment the image using normalized-cut, then take the labels that overlap the edge map you found with Canny. Jan 3, 2023 · Python OpenCV – cv2. hpp ". shape. Once you have done that, run the code using the following command (note: mask image is optional): Feb 15, 2021 · To learn how to perform automatic color correction, you need to have both OpenCV and scikit-image installed: Both are pip-installable using the following commands: $ pip install opencv-contrib-python $ pip install scikit-image==0. This video is very important from interview perspective Jan 22, 2014 · Python code examples: Learn how to create color histograms using Python and OpenCV. Jan 8, 2013 · First we need to calculate the color histogram of both the object we need to find (let it be 'M') and the image where we are going to search (let it be 'I'). Just iterate over the whole image. equalizeHist(gray) # SHOW RESULT IMAGE Jan 8, 2013 · The function cv::calcHist calculates the histogram of one or more arrays. bgr = cv2. calcHist () to do that. Find the approximate range of values of green color for each color space. A simple bitwise and with a proper bitmask would do the trick. Not only supported by any system, such as Windows, Linux, Mac, etc. labels_, bins=num_labels) # normalize the histogram, such that it sums to one hist = hist. crackwitz May 21, 2024, 12:59pm 3. If the images have multiple channels, the matching is done independently for each channel, as long as the number of channels is equal in the input image and the reference. You need not use calcHist () or np. When adding a constant bias, the histogram is shifted to the right as we have added a constant bias to all the pixels. We are now ready to compute color histograms with OpenCV! Be sure to access the “Downloads” section of this tutorial to retrieve the source code and example image. 5 days ago · First we need to calculate the color histogram of both the object we need to find (let it be 'M') and the image where we are going to search (let it be 'I'). It is an additive color model where the different intensities of Blue, Green and Red give different 3 days ago · equ = cv. Jan 8, 2013 · Theory. cvtColor (input_image, flag) where flag determines the type of conversion. Use the OpenCV function cv::split to divide an image into its correspondent planes. Then put that file, as well as your source, reference, and mask images all in the same directory (or folder) in your computer. Histogram matching is an image processing technique that transfers the distribution of pixel intensities from one image (the “reference” image) to another image (the “source” image). See the code below: Jul 28, 2016 · Im trying to show the histogram in real time from grayscale of my webcam, the problem is that histogram is not being update and my cam stop until i close histogram's window. cvtColor function, and the importance of lighting conditions/environments when building a computer vision and image processing pipeline. While histogram matching can improve the aesthetics of an Jul 12, 2024 · Calculate the H-S histogram for all the images and normalize them in order to compare them. 6. #include < opencv2/imgproc. In this post, we’ll use OpenCV-Python to process video from a camera (or from a video file) and Python’s matplotlib package to plot a histogram of the video’s pixel intensities in real time. Jan 3, 2023 · Color Identification in Images using Python – OpenCV. Here is how to do that in Python/OpenCV. Step 1 : Get the color values for a particular color. OpenCV implements the function cv::compareHist to perform a comparison. png') The simplest way. png' ,res) So now you can take different images with different light conditions, equalize it and check the results. Coding & Development. # import the necessary packages from scipy. 4. Note. 18. imwrite ( 'res. py --image images/boston. imread(image_path) Apr 16, 2014 · it will not give an error, but the histograms will be the same before and after equalization. Compare the histogram of the base image with respect to the 2 test histograms, the histogram of the lower half base image and with the same base image histogram. When we read the image using cv2. The result was impressive with a 0. ArgumentParser () ap. What can I do in this piece of code. hist () It directly finds the histogram and plot it. 14. cvtColor(img,cv2. capture = cv. histogram to compute the histogram of our image which, after all, is a NumPy array: PYTHON. A std::map could be useful here. The method is useful in images with backgrounds and foregrounds that are both bright or both dark. Now that we have got some idea about the different color spaces, lets first try to use them to detect the Green color from the cube. import matplotlib. Jul 11, 2024 · 2D Histogram in OpenCV. This article will guide you through methods on how to compute and visualize 2D histograms (such as color histograms) using OpenCV and Python, considering an input image and desiring a plotted histogram as the output. The parameters α > 0 and β are often called the gain and bias parameters; sometimes these parameters are said to control contrast and brightness respectively. From here, we need to define the total number of bins in the histogram that we would need to compute. Nov 17, 2023 · Automatic/Optimized Thresholding with OpenCV. Downloadable code: Click here. The x-axis indicates the range of values the variable can take. It quantifies the number of pixels for each intensity value considered. In OpenCV, we can use the cv2. py: test class to perform real-time color recognition form webcam Apr 17, 2023 · STEPS: Import the OpenCV library. OpenCV has a function to do this, cv2. However, it actually stores color in the BGR format. #roi is the object or region of object we need to find. May 19, 2015 · I found a really nice method to solve my problem: LAB colorspace is a nice colorspace to compare colors. Jan 8, 2013 · Long Way : use OpenCV drawing functions. To get the RGB colors from the image, the cv2 module provides calchist method that accepts the image object, channel to get a specific color, mask, histogram size, and range. 0 and python: Code: May 21, 2024 · Of course if you have got both original image a difference will do the job. Instead of HOG, i would like to extract from my object color histograms(for example), but i couldn't find any information about it for OpenCV, everywhere is using HOG. 4 simple steps for object detection with Python, opencv, and cvlib. The method works by adjusting the frequency distribution of the pixel values in an image, such Jan 4, 2023 · Some of the popular color spaces are RGB (Red, Green, Blue), CMYK (Cyan, Magenta, Yellow, Black), HSV (Hue, Saturation, Value), etc. Display the numerical matching parameters obtained. histogram () function to find the histogram. Directly analyzing an image in the RGB color space gives us insight into the intensity of red, green, and blue in an image. py ). Feb 3. It is quite simple and calculated using the same function, cv2. But we will look into only two, which are most widely used ones: BGR ↔ Gray and BGR ↔ HSV. Code at glance: #include " opencv2/imgcodecs. However, if we want to get histogram of specific region of image, we should create a mask image for that and give it as mask. im2 = cv2. calcHist() to extract the color features with a histogram. 1. Mar 18, 2014 · What you need to do is to split your training image on say 4 quadrants and create 4 color histograms. 6. color percentage in image 3 days ago · The histogram represents for each color level the number of pixels with that color level. C++. channelValue- It accepts 0,1,2 values. Without quantisation the histogram will be big (256*256*256). In this tutorial you will learn: What an image histogram is and why it is useful; To equalize histograms of images by using the OpenCV function cv::equalizeHist; Theory What is an Image Histogram? It is a graphical representation of the intensity distribution of an image. For color image, you can pass [0],[1] or [2] to calculate histogram of blue,green or red channel, respectively. Example code: abs(red_lab[1] - pixel_lab[1])**2 +. resize(im2, (w, h)) Dec 16, 2019 · Make sure you copy and paste this code into a single Python file (mine is named histogram_matching. Can someone tell me how can I ignore the white color and compare the actual fruit. reshape(1,1), feature); // prediction will be one of the labels, you fed in for training: int prediction = (int) svm->predict(feature); Jun 21, 2020 · Here is an alternate version in Python/OpenCV that is sorted by HSV Value. To normalize an array by using the function cv::normalize. Jan 3, 2023 · Step 3: Get RGB Data from Image. pyplot as plt #importing matplotlib. Histogram equalization is good when histogram of the image is confined to a particular region. The elements of a tuple used to increment a histogram bin are taken from the corresponding input arrays at the same location. Apply a bilateral filter to the image using the cv2. Python3. To calculate histograms of arrays of images by using the OpenCV function cv::calcHist. COLOR_YUV2BGR) Feb 28, 2024 · In this code, we read an image, convert it from BGR to RGB color space, and calculate histograms for each color channel. COLOR_BGR2YUV) # apply histogram equalization img_yuv[:,:,0] = cv2. For color histograms, we need to convert the image from BGR to HSV. import numpy as np. Lists. histSize: this represents our BIN Jan 3, 2023 · Example 1: Using OpenCV and scikit-image. Results: If the images do not have the same dimensions (total pixels=width*height), then one probably should normalize the histograms by dividing every bin by the total pixels in the image. png') Jan 13, 2014 · The mask you create needs to be uint8 type , so when creating the mask make it uint8, and then pass it to compute the histogram. It's not difficult at all, and not very much code. In the last tutorial ( Histogram Equalization) we talked about a particular kind of histogram called Image Feb 8, 2021 · In this tutorial, you learned how to perform histogram matching using OpenCV and scikit-image. Has someone an idea how to use kmeans to cluster a color-histogram , so I can perform this algorithm? Jul 14, 2014 · 3 Ways to Compare Histograms Using OpenCV and Python. The code for the same is mentioned below. stack((colorimage_b,colorimage_g,colorimage_r), axis=2) At this point we can plot our color image histogram to see what has happened. It changes with illumination so you need to have Sep 11, 2021 · Different from before, as we will have 3-4 channels in a color image, we need to adapt our approach slightly. How to generate an RGB Histogram by opencv. imread ( 'rose_red. Apr 14, 2016 · svm->train(data, ml::ROW_DATA, responses); // for prediction later, process your image in the very same way: // get histograms, r_hist, g_hist, and combine them: Mat feature; hconcat(r_hist. OpenCV was used for color histogram calculations and knn classifier. In this tutorial, we will show how to compute the histogram for different colors (Blue, Green, and Red) of the input image. This range can be Apr 29, 2021 · I am new to Histogram comparisons. Here is the best coding snippet - # convert it to grayscale img_yuv = cv2. From there, open a shell and execute the following command: $ python adaptive_equalization. matplotlib. calcHist (). It is quite simple and calculated using the same function, cv. roi = cv. 0. NumPy was used for matrix/n-dimensional array calculations. Jul 5, 2022 · En este artículo, se analiza el análisis de imágenes utilizando Matplotlib y OpenCV. Method 4: RGB Color Space Analysis. cvtColor(cv2. Oct 4, 2021 · This tutorial discusses how Contrast Limited Adaptive Histogram Equalization is used for contrast enhancement, about clip limit and shows the proper way of a Feb 9, 2018 · 9 min read. shrink the picture. This enhances the brightness while also limiting contrast sensitivity. py --image beach. calcHist([segment], [0, 1, 2], None, [8, 8, 8],[0 Apr 28, 2021 · In this tutorial, you will learn about color spaces in OpenCV, the cv2. This why the image is darker. cvtColor(img_yuv, cv2. Similar to before, we will import OpenCV and our helper function to display images in Jupyter lab. Transformation function transfers the pixel intensity levels from the Jan 8, 2013 · There are more than 150 color-space conversion methods available in OpenCV. A normalization function usually intends to do the opposite; if the pixels are in a smaller range, it will disperse the values between 0-255. OpenCV also allows you to identify color in images. think in luma and chroma. A dark image will have many pixels with low color value and thus the histogram will present a peak in its left part. Feb 23, 2017 · I guess the problem is with the range of values that I am using for each channel of LAB color space. def compare_hist(im1, im2): h, w, _ = im1. The results are plotted using matplotlib, showing each channel’s histogram in its respective color. Dec 19, 2014 · I'm very new to OpenCV, and i want to create simple object detector, that uses SVM. What if you want to find histograms of some regions of an image? Just create a mask image with white color on the region you want to find histogram and black otherwise. Aug 2, 2023 · Advertisements. Getting Ready. mask = np. I have found that you can run cv2. Apr 28, 2021 · Color histogram results. If you just want to color the background, you can easily do it using the foreground mask. Feb 1, 2021 · Let’s now apply adaptive histogram equalization with OpenCV! Access the “Downloads” section of this tutorial to retrieve the source code and example images. 99 %, however I think that the result resulted in 99% because of the background color. 1. Color histogram is quite robust to rotations, scaling and perspective. waitKey function. multichannel_hist. cv. Python Opencv Color range histogram. mean(cnt, mask) on a contour to get the mean values of the BGR channels, which seems promising. This code uses these images to make a histogram comparison. Bi-modal images are images whose color histograms only contain two peaks (i. Difference of squares formula. Get the color name. cvtColor. Dec 28, 2018 · In this post, I'm going to use OpenCV 3 with Python 3. Histogram matching can be used as a lightweight normalisation 1. abs(red_lab[2] - pixel_lab[2])**2) Pixels with lowest deltaE are the most perceptually similar to the compared color. Two commonly used point processes are multiplication and addition with a constant: g(x) = αf(x) + β. For color histogram, we need to convert the image from BGR to HSV. For BGR → Gray conversion, we use the flag cv. When plotting the Mar 16, 2014 · im doing this in my project for recognizing a flag shown in the camera using opencv python. requisitos previos: OpenCV. We will learn about the histograms in a moment, but before we go there let us first understand why we have divided the Apr 6, 2019 · Histograms are not a good way to compare images, in black and white images, for example, if they have the same amount of black pixels, the histograms will be identical, regardless on the pixels distributions in the image (that is why the images you mentioned are classified as almost equal). To compare two histograms ( H1 and H2 ), first we have to choose a metric ( d(H1,H2)) to express how well both histograms match. Individual Channel Equalization (Notice the false colors) Here is the OpenCV code for histogram equalization of color image using YCbCr color space. equalized = cv2. zeros(image. Display the source and equalized images in a window. When there are lots of colors in the image, the splitting method will cause color imbalance. calcHist() function to compute histograms. Jan 29, 2019 · An image histogram gives a graphical representation of the distribution of pixel intensities in a digital image. This way, you can prepare a foreground mask from which you can extract the pixels you are interested in, to calculate the histogram. pyplot as plt import numpy as np import argparse import glob import cv2 # construct the argument parser and parse the arguments ap = argparse. My code so far: from cv2 import cv2. The testing stage will integrate these 4 back projected histograms and check for the right spatial order of responses. The code begins with importing the necessary packages, reading images using the OpenCV imread () method, and then we check the number of channels of the input image and reference image, if they don’t match we cannot perform histogram matching. import cv2 as cvfrom matplotlib import pyplot as plt. (Remember, for 1D histogram, we converted from BGR to Grayscale). calcHist () function to calculate the image histograms. BGR color space: OpenCV’s default color space is RGB. The kernel can be designed to enhance the edges in the image, resulting in a sharper . Feb 26, 2024 · Output: A plot displaying three color histograms (blue, green, red) for the image. Sep 30, 2021 · Step 3 – Getting RGB Histograms for Images. Input: sum = sum + (hist1[i][0]-hist2[i][0])**2. Its input is just grayscale image and output is our histogram equalized image. Then pass this as the mask. 8×8 cells of HOG. May 29, 2024 · First we need to calculate the color histogram of both the object we need to find (let it be 'M') and the image where we are going to search (let it be 'I'). from matplotlib import pyplot as plt. To remove the dominant black background, we can set the range to [1, 256]. I can't find a way to average the values of each channel for instance. COLOR Mar 5, 2013 · Algorithm : 1 - First we need to calculate the color histogram of both the object we need to find (let it be 'M') and the image where we are going to search (let it be 'I'). py. I want to find the percentage of brown color from an image using histogram function. py script: $ python color_histograms. Jul 13, 2017 · Every single one of the colors showing up in this animation will be selected from your image to be part of your mask. #include " opencv2/highgui. match_histograms is used to find the matched image Jan 22, 2018 · Python Opencv Color range histogram. hstack ( (img,equ)) #stacking images side-by-side. COLOR_BGR2LAB) hist = cv2. split() then use cv2. colorimage_clahe = np. subtract(image, M) Sep 19, 2021 · Afterwards, don’t forget to stack our three arrays back into a single BGR image. The image object is mentioned in Feb 27, 2024 · A 2D histogram is a graphical representation of this distribution where two features are considered simultaneously. has only two distinct pixel values). It also offers 4 different metrics to compute the matching: Correlation ( CV_COMP_CORREL ) Oct 22, 2013 · 2. Goal . You can cv2. equalizeHist (). Feb 15, 2023 · Sharpening can be used to correct blur or softness in an image and can be applied using a variety of techniques. Dec 6, 2016 · Step 3 : Calculate Histogram of Gradients in 8×8 cells. We pass in 256 because we want to see the pixel Feb 11, 2021 · In this video We will be working with colors and you will get to learn about many concepts throughout this project. We used cv. Syntax: imageObject- Variable name in which image is loaded. Dec 28, 2017 · Here’s the code that plots each 2D color histograms one for each pair combinations. I assume by "x sensitivity" you mean you want to quantise the image. You can take a low contrast image, and use 255 3 days ago · What an image histogram is and why it is useful; To equalize histograms of images by using the OpenCV function cv::equalizeHist; Theory What is an Image Histogram? It is a graphical representation of the intensity distribution of an image. calcHist method. but also it can be run in any programming language like Python, C++, Java, etc. hpp >. It manipulates the pixels of an input image so that its histogram matches the histogram of the reference image. DCT should be able to represent the first one’s vertical gradient and the second one’s square-radial gradient. add_argument ("-d", "--dataset Jul 9, 2024 · The function cv::calcHist calculates the histogram of one or more arrays. imread () method, the image read is in BGR format. The code calculates the color histograms using OpenCV and then uses matplotlib to display them. One common method for sharpening images using OpenCV and Python is to use the cv2. Primero comprendamos cómo experimentar datos de imágenes con varios estilos y cómo representarlos con histograma. The program was developed on Python at Linux environment. Mar 12, 2015 · Be advised that you need numpy and matplotlib installed. Jun 16, 2021 · 2. This is the code (in OpenCV Python) that I use to get the color histogram for each superpixel: segment = cv2. Get the different colors of an image. hist_color_added_image = hist_color_img(added_image) # Subtract 15 from every pixel (the result will look darker) and calculate histogram: subtracted_image = cv2. CaptureFromCAM(0) img = cv. Sep 4, 2018 · 1. For 2D histograms, its parameters will be modified as follows: Sep 3, 2016 · b-channel: representing change in color between yellow and blue; In the following I perform adaptive histogram equalization on the L-channel and convert the resulting image back to BGR color space. In order to improve the contrast of a color image, we need to first plot the histogram of a color image. equalizeHist (img) res = np. The following code was found here. For color conversion, we use the function cv. In this post, we're going to focus on the RGB color space, hence the intensity of a pixel is in the range [0, 255] [0, 255] [0, 255]. # create the histogram histogram, bin_edges = np. png') Jan 4, 2023 · Histogram equalization accomplishes this by effectively spreading out the most frequent intensity values. It takes less than second on my computer. Here is the snippet. i've already tried using surf, but since some of the flags has less features, like having red and blue colors as the feature of the flag, it does not always give the correct recognition. Color detection is necessary to recognize Next Tutorial: Histogram Calculation. py: Demuestra cómo calcular el histograma de color de una imagen en escala de grises. matplotlib is to allow for plotting the histogram as a stem plot. Importación de datos de imagen. astype("float The color conversion method cv2. As a PoC I wanted to try and re-identify using their clothing because for my use-case, there are a finite number of people wearing different contrasting clothing. Apr 28, 2023 · To do this, we have a function in “opencv” called “equalizeHist ()” which we will apply to our gray image: # EQUALIZING HISTOGRAM. python, for 64 colors, img = img & int("11000000", 2) The number of colors for an RGB image should be a perfect cube (same across 3 channels). OpenCV provides us with the cv2. Jan 3, 2020 · I want to get color histograms of RGB images. But this take's a long time. From there you can execute the color_histograms. Intensity Image Equalization. Jun 25, 2013 · Your current normalization function spreads the pixel valus in the range 0-127, whereas the normal range for images is 0-255. Once you have the histogram, just search for the cells Jan 27, 2016 · The histogram might work, but it seems suited to make an actual histogram. To fully understand the OpenCV function, the easiest way is just to make your own function to complete the task. What is an image histogram? A histogram is a graph or a plot that represents the distribution of the pixel intensities in an image. labels_)) + 1) (hist, _) = np. Jul 13, 2024 · Convert the original image to grayscale. Matplotlib comes with a histogram plotting function : matplotlib. Using Matplotlib. I have done the following using OpenCV 3. For now, I use the kmeans-algorithm to cluster the whole image . mask: mask image. Watch on. Aug 14, 2021 · Histograms vs Image Histogram, Histogram Equalization explained in this video of OpenCV with Python. QueryFrame(capture) Jan 19, 2022 · En la carpeta datasmarts nos topamos con estos dos programas: single_channel_hist. unique(clt. To find histogram of full image, it is set as None. The link to the documentation has an example how to use calcHist (in C++, not Python but it would be almost the same). calcHist() function. This is pretty easy. #include " opencv2/imgproc. As an example, consider the following images: Input Image. bitwise_and(frame, frame, mask = mask), cv2. e. Jan 8, 2013 · Check the code at samples/python/hist. Measuring colors from images through Histograms. reshape(1,1), g_hist. Apply CLAHE to the converted image in LAB format to only Lightness component and convert back the image to RGB. We could apply it to calculate the histogram of the constituent color channels (blue, green, and red) of the image. cv as cv. imread function. filter2D () function, which convolves the image with a kernel. Basically, those RGB values that you have defined we can consider as keypoints. Mar 4, 2014 · You can use newer OpenCV python interface which natively uses numpy arrays and plot the histogram of the pixel intensities using matplotlib hist. CLAHE Histogram Equalization OpenCV - Histogram equalization is a technique used in image processing to enhance the contrast of an image by redistributing the pixel intensities in a way that maximizes the overall brightness and detail. Sep 25, 2020 · Here you can see some examples of how to use it. In order to get RGB histograms we would be using the cakHist function which requires a number of parameters including the image object, the bin count, the range of values needed, and the channel ( blue, red, or green ). cvtColor() is used to convert the original image in between RGB/BGR and YUV. this is my python code Jun 18, 2018 · def centroid_histogram(clt): # grab the number of different clusters and create a histogram # based on the number of pixels assigned to each cluster num_labels = np. If you need help configuring your development environment for OpenCV, I highly recommend that you read my pip May 11, 2023 · Imagine sorting a bag of colored marbles into different buckets based on color; that’s exactly what a color histogram does. spatial import distance as dist import matplotlib. png Jul 29, 2014 · Conversion of RGB to LAB (L for lightness and a and b for the color opponents green–red and blue–yellow) will do the work. If you see a color already seen, increment its counter. It should be a global histogram of the hue values in HSV color space, resulting in 256 features per image. histogram(plant_seedling, bins=256, range=(0, 1)) The parameter bins determines the number of “bins” to use for the histogram. sq tq nm uq dg yp rq tp ql hq