test

.gitignore

@@ -0,0 +1,10 @@
+# Environments
+venv/
+.venv/
+/pyvenv.cfg
+.python-version
+
+# Media
+media/
+downloaded_images
+downloaded_videos

README.md

@@ -1 +1,15 @@
-git repo for Vivien Perrot
+# git repo for art num
+
+*the wiki will be updated with more information and usefull snipet. fell free to contribute*
+
+test port ssh 
+
+## how to 
+1. clone this repo to you own computer 
+    ` git clone https://git.erg.school/P039/art_num_2024.git`
+2. check before eatch courses for update 
+    ` git pull ` 
+
+## content 
+
+ 

arduino/README.md

@@ -0,0 +1 @@
+git repo for art num

bash/README.md

@@ -0,0 +1 @@
+git repo for art num

gravure_upic/README.md

@@ -1,4 +0,0 @@
-
-# Un système UPIC pour un orchestre de gravures
-
-C'est un projet prenant pour source de création des gravures faites avec la technique d'eau forte sur plaque de zinc. Il inclut la transcription visuelle dans le champ sonore fréquentiel dont le mouvement du dessin fixe va altérer le comportement sonore dans le temps.

gravure_upic/python/circular_to_plane/circular_to_plain.py

@@ -1,26 +0,0 @@
-import cv2
-import math
-
-ring = cv2.imread('../circular.png')
-
-size = ring.shape[0]
-outer_radius = size // 2
-inner_radius = 0
-
-unwrapped = cv2.warpPolar(
-    ring,
-    (size, int(size * math.pi)),
-    (outer_radius, outer_radius),
-    outer_radius,
-    flags = 0
-)
-
-unwrapped = cv2.rotate(unwrapped, cv2.ROTATE_90_COUNTERCLOCKWISE)
-
-unwrapped = unwrapped[inner_radius:, :]
-
-cv2.imshow("original", ring)
-cv2.imshow("Unwrapped", unwrapped)
-cv2.waitKey(0)
-cv2.destroyAllWindows()
-cv2.imwrite("output.png", unwrapped)

gravure_upic/python/img_to_freq/img_to_freq.py

@@ -1,101 +0,0 @@
-from tqdm import tqdm
-from scipy.ndimage import uniform_filter1d
-from scipy.io.wavfile import write
-import math, cv2, sys, getopt, wave
-import numpy as np
-
-def unwrap_img(input_file):
-    ring_img = cv2.imread(input_file)
-
-    size = ring_img.shape[0]
-    outer_radius = size // 2
-    inner_radius = 0
-
-    unwrapped_img = cv2.warpPolar(
-        ring_img,
-        (size, int(size * math.pi)),
-        (outer_radius, outer_radius),
-        outer_radius,
-        flags=0
-    )
-
-    rotated_unwrapped = cv2.rotate(unwrapped_img, cv2.ROTATE_90_COUNTERCLOCKWISE)
-    cropped_unwrapped = rotated_unwrapped[inner_radius:, :]
-
-    inverted_unwrapped = cv2.bitwise_not(cropped_unwrapped)
-
-    return inverted_unwrapped
-
-
-def image_to_audio(input_img, out_wav, duration_seconds, sample_rate, vertical_res, amp_threshold):
-    max_freq = 10000
-    min_freq = 50
-
-    duration_seconds = float(duration_seconds)
-
-    # Downsample image vertically to reduce number of frequencies
-    input_img = input_img[::vertical_res]  # Use one row every 20 pixels
-    height, width, _ = input_img.shape
-
-    num_samples = int(sample_rate * duration_seconds)
-    freqs = np.logspace(np.log10(min_freq), np.log10(max_freq), height)[::-1]
-
-    brightness = np.mean(input_img / 255.0, axis=2)
-    amplitudes = np.where(brightness >= 0.1, brightness, 0)
-
-    samples = np.zeros(num_samples, dtype=np.float32)
-    chunk_size = 10000
-
-    for start in tqdm(range(0, num_samples, chunk_size)):
-        end = min(start + chunk_size, num_samples)
-        t = np.linspace(start / sample_rate, end / sample_rate, end - start)
-
-        pixel_xs = (t * width / duration_seconds).astype(int)
-        pixel_xs = np.clip(pixel_xs, 0, width - 1)
-
-        amp_per_sample = amplitudes[:, pixel_xs]
-        amp_per_sample[amp_per_sample < amp_threshold] = 0
-        amp_per_sample = uniform_filter1d(amp_per_sample, size=7, axis=1)  # Smooth
-        
-        phases = 2 * np.pi * freqs[:, None] * t[None, :]
-        active = np.count_nonzero(amp_per_sample, axis=0)
-        chunk = np.sum(amp_per_sample * np.sin(phases), axis=0)
-
-        # Normalize chunk by number of active oscillators to avoid "snow"
-        chunk = np.where(active > 0, chunk / active, 0)
-        samples[start:end] = chunk
-
-    # Final normalization
-    samples /= np.max(np.abs(samples) + 1e-8)
-
-    # Convert to int16 for wav
-    wav_samples = (samples * 32767).astype(np.int16)
-    write(out_wav, sample_rate, wav_samples)
-    print(f"Audio saved to {out_wav}")
-
-
-if __name__ == '__main__':
-    input_file = ''
-    output_file = ''
-    duration = 10
-
-    try:
-        opts, args = getopt.getopt(sys.argv[1:], "hi:o:d:yRes:thresh:")
-    except getopt.GetoptError:
-        print('error: img_to_freq.py -i <input_picture> -o <output_sound> -d <audio_duration>')
-
-    for opt, arg in opts:
-        if opt == '-h':
-            print('error: img_to_freq.py -i <input_picture> -o <output_sound> -d <audio_duration>')
-            sys.exit(2)
-        elif opt == '-i':
-            input_file = arg
-        elif opt == '-o':
-            output_file = arg
-        elif opt == '-d':
-            duration = arg
-
-    unwrapped_img = unwrap_img(input_file)
-    cv2.imwrite('output.png', unwrapped_img)
-
-    image_to_audio(unwrapped_img, output_file, duration, 44100, 20, 0.1)

python/README.md

@@ -0,0 +1 @@
+git repo for art num

python/introduction/README.md

@@ -0,0 +1,16 @@
+## introduction
+```
+variables  
+list --> bisous.py programming.py  
+input --> bisous.py  
+print  
+for loop --> bisous.py
+conditional statements if/else/elif --> bisous.py
+break --> bisous.py  
+while loop --> missing.py
+dictionary
+enumerate
+return --> missing.py
+random --> programming.py
+function --> missing.py
+```

python/introduction/bisous.py

@@ -0,0 +1,19 @@
+# Initialiser les variables
+queer = "mon amour"
+bisous = ["ma biche", "mom bébé", "mon amour", "mon chéri.e"]
+
+# Demander une saisie à l'utilisateur
+amoureuxse = input("Entrez le nom de votre bien-aiméx : ")
+
+# Boucler à travers la liste et imprimer le message correspondant
+for bisou in bisous:
+    if bisou == queer:
+        print("bisou pour toi", bisou, amoureuxse)
+
+    elif amoureuxse == "python":
+        print("on dirait un.e geek")
+        break
+
+    else:
+        print(f":* :* {bisou}, {amoureuxse}")
+

python/introduction/missing.py

@@ -0,0 +1,12 @@
+from time import sleep
+
+love = True
+how = "so"
+
+def missing(so):
+    print(f"I miss you {so} much")
+
+while love:
+    missing(how)
+    how += " so"
+    sleep(0.2)

python/introduction/programming.py

@@ -0,0 +1,25 @@
+"""
+poem converted from bash programming.sh by Winnie Soon, modified from The House of Dust, 1967 Alison Knowles and James Tenney
+"""
+import random
+import time
+
+# listes for different elements
+kisses = ["DEAREST", "SWEETHEART", "WORLD", "DARLING", "BABY", "LOVE", "MONKEY", "SUGAR", "LITTLE PRINCE"]
+material = ["SAND", "DUST", "LEAVES", "PAPER", "TIN", "ROOTS", "BRICK", "STONE", "DISCARDED CLOTHING", "GLASS", "STEEL", "PLASTIC", "MUD", "BROKEN DISHES", "WOOD", "STRAW", "WEEDS", "FOREST"]
+location = ["IN A GREEN, MOSSY TERRAIN", "IN AN OVERPOPULATED AREA", "BY THE SEA", "BY AN ABANDONED LAKE", "IN A DESERTED FACTORY", "IN DENSE WOODS", "IN JAPAN", "AMONG SMALL HILLS", "IN SOUTHERN FRANCE", "AMONG HIGH MOUNTAINS", "ON AN ISLAND", "IN A COLD, WINDY CLIMATE", "IN A PLACE WITH BOTH HEAVY RAIN AND BRIGHT SUN", "IN A DESERTED AIRPORT", "IN A HOT CLIMATE", "INSIDE A MOUNTAIN", "ON THE SEA", "IN MICHIGAN", "IN HEAVY JUNGLE UNDERGROWTH", "BY A RIVER", "AMONG OTHER HOUSES", "IN A DESERTED CHURCH", "IN A METROPOLIS", "UNDERWATER", "ON THE SCREEN", "ON THE ROAD"]
+light_source = ["CANDLES", "ALL AVAILABLE LIGHTING", "ELECTRICITY", "NATURAL LIGHT", "LEDS", "MOON LIGHT", "THE SMALL TORCH"]
+inhabitants = ["PEOPLE WHO SLEEP VERY LITTLE", "VEGETARIANS", "HORSES AND BIRDS", "PEOPLE SPEAKING MANY LANGUAGES WEARING LITTLE OR NO CLOTHING", "CHILDREN AND OLD PEOPLE", "VARIOUS BIRDS AND FISH", "LOVERS", "PEOPLE WHO ENJOY EATING TOGETHER", "PEOPLE WHO EAT A GREAT DEAL", "COLLECTORS OF ALL TYPES", "FRIENDS AND ENEMIES", "PEOPLE WHO SLEEP ALMOST ALL THE TIME", "VERY TALL PEOPLE", "AMERICAN INDIANS", "LITTLE BOYS", "PEOPLE FROM MANY WALKS OF LIFE", "FRIENDS", "FRENCH AND GERMAN SPEAKING PEOPLE", "FISHERMEN AND FAMILIES", "PEOPLE WHO LOVE TO READ", "CHEERFUL KIDS", "QUEER LOVERS", "NAUGHTY MONKEYS", "KIDDOS"]
+
+# Infinite loop
+while True:
+    print("HELLO", random.choice(kisses))
+    print("    A TERMINAL OF BLACK", random.choice(material))
+    print("        ", random.choice(location))
+    print("           PROGRAMMING", random.choice(light_source))
+    print("                KISSED BY", random.choice(inhabitants))
+    print(" ")
+    
+    # Delay for 3.5 seconds
+    time.sleep(3.5)
+

python/scrape/README.md

@@ -0,0 +1,16 @@
+## Un script qui extrait des images depuis une URL donnée 
+
+Nous devons installer:
+```
+pip install requests beautifulsoup4 tldextract
+
+```
+
+Exécutez le script avec :
+```
+python get_images.py https://www.freepik.com/images
+```
+Remplacez l’URL par le lien que vous souhaitez extraire. 
+**Remarque:** Le scraping doit être effectué de manière éthique, en respectant les règles du fichier robots.txt et les conditions d'utilisation du site.
+
+

python/scrape/get_images.py

@@ -0,0 +1,66 @@
+import requests
+import time
+from bs4 import BeautifulSoup
+from urllib.parse import urlparse
+import os
+import sys
+import tldextract
+
+# URL of the webpage with images
+input_url = sys.argv[1] 
+
+# extract full domain
+def split_domain_or_subdomain_and_path(url):
+    # Parse the URL
+    parsed_url = urlparse(url)
+    extracted = tldextract.extract(url)
+    
+    # Build the full domain, including subdomain if present
+    if extracted.subdomain:
+        full_domain = f"{extracted.subdomain}.{extracted.domain}.{extracted.suffix}"
+    else:
+        full_domain = f"{extracted.domain}.{extracted.suffix}"
+    
+    return "https://" + full_domain
+
+full_domain = split_domain_or_subdomain_and_path(input_url)
+print(f"Domain/Subdomain: {full_domain}")
+
+# Folder to save images
+save_folder = "downloaded_images"
+if not os.path.exists(save_folder):
+    os.makedirs(save_folder)
+
+# Send GET request to the page
+response = requests.get(input_url)
+if response.status_code == 200:
+    # Parse the HTML content with BeautifulSoup
+    soup = BeautifulSoup(response.text, 'html.parser')
+
+    # Find all image tags
+    images = soup.find_all('img')
+
+    # Loop through image tags
+    for idx, img in enumerate(images):
+        img_url = img.get('src')
+        
+        # Check if img_url is complete; if not, adjust it accordingly
+        if not img_url.startswith("http"):
+            img_url = full_domain + "/" + img_url
+
+        try:
+            # Send request to the image URL
+            img_data = requests.get(img_url).content
+            # Define file name and path
+            img_name = os.path.join(save_folder, f"image_{idx}.jpg")
+            # Write image data to file
+            with open(img_name, 'wb') as handler:
+                handler.write(img_data)
+
+            print(f"Downloaded {img_name}")
+            time.sleep(1)
+        
+        except Exception as e:
+            print(f"Failed to download {img_url}. Error: {e}")
+else:
+    print("Failed to retrieve the page.")

references/README.md

@@ -0,0 +1 @@
+git repo for art num

upython/README.md

@@ -0,0 +1 @@
+git repo for art num