From 9a4cf094fd569b2b469d43f4b03456962964dd50 Mon Sep 17 00:00:00 2001
From: kumarbaberwal <niteshkumarghn1@gmail.com>
Date: Sat, 30 Mar 2024 22:02:01 +0530
Subject: [PATCH] control screen brightness

---
 kumarbaberwal/0001.py          |  5 ++
 kumarbaberwal/0002.py          | 93 ++++++++++++++++++++++++++++++++++
 kumarbaberwal/requirements.txt |  3 ++
 3 files changed, 101 insertions(+)
 create mode 100644 kumarbaberwal/0001.py
 create mode 100644 kumarbaberwal/0002.py
 create mode 100644 kumarbaberwal/requirements.txt

diff --git a/kumarbaberwal/0001.py b/kumarbaberwal/0001.py
new file mode 100644
index 00000000..c7c8ea0d
--- /dev/null
+++ b/kumarbaberwal/0001.py
@@ -0,0 +1,5 @@
+#run pip install screen_brightness_control
+
+import screen_brightness_control as sbc
+sbc.set_brightness(100) #set the brightness to 100 
+
diff --git a/kumarbaberwal/0002.py b/kumarbaberwal/0002.py
new file mode 100644
index 00000000..96694a13
--- /dev/null
+++ b/kumarbaberwal/0002.py
@@ -0,0 +1,93 @@
+# Hand recognition to change brightness using index finger and thumb and set them using other fingers!
+
+# (0) in VideoCapture is used to connect to your computer's default camera
+import cv2
+import mediapipe as mp
+import time     
+capture = cv2.VideoCapture(0)
+
+# Initializing current time and precious time for calculating the FPS
+previousTime = 0
+currentTime = 0
+
+mp_holistic = mp.solutions.holistic
+holistic_model = mp_holistic.Holistic(
+    min_detection_confidence=0.5,
+    min_tracking_confidence=0.5
+)
+ 
+# Initializing the drawing utils for drawing the facial landmarks on image
+mp_drawing = mp.solutions.drawing_utils
+
+while capture.isOpened():
+	# capture frame by frame
+	ret, frame = capture.read()
+
+	# resizing the frame for better view
+	frame = cv2.resize(frame, (800, 600))
+
+	# Converting the from BGR to RGB
+	image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+
+	# Making predictions using holistic model
+	# To improve performance, optionally mark the image as not writeable to
+	# pass by reference.
+	image.flags.writeable = False
+	results = holistic_model.process(image)
+	image.flags.writeable = True
+
+	# Converting back the RGB image to BGR
+	image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+
+	# Drawing the Facial Landmarks
+	mp_drawing.draw_landmarks(
+	image,
+	results.face_landmarks,
+	mp_holistic.FACEMESH_CONTOURS,
+	mp_drawing.DrawingSpec(
+		color=(255,0,255),
+		thickness=1,
+		circle_radius=1
+	),
+	mp_drawing.DrawingSpec(
+		color=(0,255,255),
+		thickness=1,
+		circle_radius=1
+	)
+	)
+
+	# Drawing Right hand Land Marks
+	mp_drawing.draw_landmarks(
+	image, 
+	results.right_hand_landmarks, 
+	mp_holistic.HAND_CONNECTIONS
+	)
+
+	# Drawing Left hand Land Marks
+	mp_drawing.draw_landmarks(
+	image, 
+	results.left_hand_landmarks, 
+	mp_holistic.HAND_CONNECTIONS
+	)
+	
+	# Calculating the FPS
+	currentTime = time.time()
+	fps = 1 / (currentTime-previousTime)
+	previousTime = currentTime
+	
+	# Displaying FPS on the image
+	cv2.putText(image, str(int(fps))+" FPS", (10, 70), cv2.FONT_HERSHEY_COMPLEX, 1, (0,255,0), 2)
+
+	# Display the resulting image
+	cv2.imshow("Facial and Hand Landmarks", image)
+
+	# Enter key 'q' to break the loop
+	if cv2.waitKey(5) & 0xFF == ord('q'):
+		break
+
+# When all the process is done
+# Release the capture and destroy all windows
+capture.release()
+cv2.destroyAllWindows()
+
+
diff --git a/kumarbaberwal/requirements.txt b/kumarbaberwal/requirements.txt
new file mode 100644
index 00000000..45a9cb73
--- /dev/null
+++ b/kumarbaberwal/requirements.txt
@@ -0,0 +1,3 @@
+pip install mediapipe
+pip install cv2
+pip install screen_brighness_control
\ No newline at end of file