If you want steganographic tools, just google it. Thus far, what have you found out? You may try out one of the programs with a free trial version. Put some text in an image file. Can you side-by-side compare the original and modified picture to see whether the inserted file makes a noticeable difference?

Download a gray scale image from the internet. Load it in a matrix in your program. Reshape it to 50 x 50. Show the 50x 50 matrix. Can you see the values? (Using Numpy)

Python Program (Machine learning) Take pictures of the rectangular objects and segment out the objects from the background.  a. One object per imageb. Multiple rectangular objects per imageThe rectangular or square objects could be whatever size you can find.  You can repeat the same for circular objects too.

This is a great answer. I forgot to attach images and files and what language it was to be in. It was supposed to be Java. The hamlet.txt file used, is correct though.

Take a sufficient sample of Gutenberg's couple of digital books of your choice. Create (random?!) samples of 200 partitions of the book. Make sure each partition or record has 100 words. Generalize the program so that you can replicate that for multiple books. Maintain the label for each of the text segments or records or document, label them as a, b and c etc. as per the book they belong to. Use Regular Expressions and Pandas to manipulate the data and serialize them.

Write your own camera calibration and triangulation programme for stereo cameras. You may use libraries such as OpenCV. Using photos of an object of known dimensions, apply some keypoint matching algorithm to find image correspondences to it and try to reconstruct the object or scene.

Use Python Codehow to filter dataframes using python . For example I have a student grade csv table, first, I need to read the csv using pandas library then I want to visualize my student scores (using matplotlib, seaborn, etc) but I only want to visualize those whose scores are 60 and above. so how do i do the code in python.Exampe of Student grades table (csv)(Student name and exam date): Student name 4/7/20 Jojo 90 Lili 65 Bibi 50 Sarah 40 Rajah 100 Albert 80 Cherry 75 Jamie 85 So , based on the table above, what doesn't need to be visualized is Bibi and Sarah . Hope you can help me :)

Create a program to generate the final quantization value of the source image. You need to code the DCT and use the quantized table above. Finally, upload the followings 1. source code(C or python) 2.(quantized 8*8 values) the image of the result 70 72 70 70 72 68 68 64 103 101 103 100 99 97 94 94 132 132 132 130 129 129 125 121 157 157 155 154 153 150 148 145 168 163 164 162 163 161 161 156 172 170 165 166 163 163 162 158 174 170 167 167 164 163 164 159 174 173 170 167 167 166 166 160 Input image Quantization Table 16 11 10 16 24 40 51 12 12 14 19 26 58 60 55 14 13 16 24 40 57 69 56 14 17 22 29 51 87 80 62 18 22 37 56 68 109 103 77 24 35 55 64 81 104 113 92 49 64 78 87 103 121 120 101 72 92 95 98 112 100 103 99 luminance table

Write code (python) to generate and display an image like this. Be sure to get the location of the center correct, the number of rings, and the number of pixels in vertical and horizontal direction. Don’t worry about the exact name of libraries to import in python

PYTHON/JUPYTER NOTEBOOKS  The length scale of the image is: 287 ?m for the horizontal length. Calculate the area and area fraction of the hotspot region. Explain your method to solve this problem. Calculate the length of line between the red and black region at the top boundary in millimeters. Explain.