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import cv2

image = cv2.imread('test.jpg')
overlay = image.copy()

x, y, w, h = 10, 10, 10, 10  # Rectangle parameters
cv2.rectangle(overlay, (x, y), (x+w, y+h), (0, 200, 0), -1)  # A filled rectangle

alpha = 0.4  # Transparency factor.

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This short tutorial will get you set up with your programming environment, so that you can get started with your programming assignments.

Setting up the docker container

We will be using a prebuilt docker instance from NVIDIA's docker repository (NGC), as it simplifies setup for us.

Run the following command. Replace <local_dir> with a local directory path you would like to access from within the container.

docker run -p 8888:9989 --ulimit memlock=-1 --ulimit stack=67108864 --shm-size=8g --gpus all -it -v <local_dir>:/workspace/ nvcr.io/nvidia/pytorch:23.05-py3

You can change the part after nvcr.io/pytorch: to change the version of the docker. 23.05-py3 is the latest version from 2023.

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Problem

I am writing a document in Overleaf. I need to merge it with a front page PDF after downloading, but the merging causes the resultant PDF to lose all the hyperlinks and bookmarks.

Solution

1. Add the front page, back page whatever in overleaf itself using \includepdf[pages=-]{file.pdf}.
2. If step 1 works for you right away, you can skip the next steps as the PDF you download will have working hyperlinks. Sometimes, /frontmatter or other commands might alter your placement of the front page in overleaf. For that, go to step 3.
3. Download the PDF, and use qPDF to rearrange the pages as needed
4. For example, if the /frontmatter command messed up placement of front page and the frontmatter such that page 1 of pdf is now frontmatter, and page 2 is front page, this command will restore the order:

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"""
Modified version of the original script from https://github.com/mesutpiskin/opencv-fisheye-undistortion/blob/master/src/python/camera_calibration_undistortion.py
"""

import cv2
import numpy as np
import glob


def calibrate(folder, rows=6, cols=9, save_file='calibrationdata.npz'):

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import cv2
import numpy as np

image_path = 'path/to/image'  # Path to the input image
bgcolor = [255, 255, 255]  # BGR value of background color.

img = cv2.imread(image_path)
img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)

img[np.all(img == bgcolor + [255], axis=2)] = [0,0,0,0]

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event=button/micmute MICMUTE 00000080 00000000 K
action=/etc/acpi/asus-mutemic.sh

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#!/bin/sh

#sudo PULSE_RUNTIME_PATH=/var/run/pulse -u pulse pacmd list-sources |  grep -oP 'index: \d+' | awk '{ print $2 }' | xargs -I{} pactl set-source-mute {} toggle
sudo PULSE_RUNTIME_PATH=/var/run/pulse -u pulse pactl set-source-mute 2 toggle && pactl set-source-mute 1 toggle && pactl set-source-mute 0 toggle 

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def FourierShift2D(x, delta):
    """
    FourierShift2D(x, delta)
        Subpixel shifting in python. Based on the original script (FourierShift2D.m)
        by Tim Hutt.
        
        Original Description
        --------------------
        Shifts x by delta cyclically. Uses the fourier shift theorem.
        Real inputs should give real outputs.

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# model is your pytorch model (an nn.Module instance)
pytorch_total_params = sum(p.numel() for p in model.parameters())
print(pytorch_total_params)

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def remove_data_parallel(old_state_dict):
    new_state_dict = OrderedDict()

    for k, v in old_state_dict.items():
        name = k[7:] # remove `module.`
        new_state_dict[name] = v
    
    return new_state_dict