Directory Changes & Improvements

Author: muhammadtahasuhail

app/resources/backend/lib/__pycache__/block.cpython-38.pyc

@@ -0,0 +1,41 @@
+from importlib import import_module
+from wires.wire_img import Wire_Read, Wire_Write
+
+
+def initialize_block(method_name, input_wires, output_wires, parameters, flags):
+
+    inputs, outputs = create_connections(input_wires, output_wires)
+    
+    try:
+        execute(method_name, inputs, outputs, parameters)
+        
+    except KeyboardInterrupt:
+    
+        monitoring_thread.terminate()
+	    
+        for memory in outputs:
+    	    memory.release()
+		    
+        exit(0)
+
+def create_connections(input_wires, output_wires):
+
+    inputs = []
+    for wire in input_wires:
+         inputs.append(Wire_Read(wire))
+    
+    outputs = []
+    for wire in output_wires:
+	    outputs.append(Wire_Write(wire))
+	    
+    return inputs, outputs
+
+def execute(method_name, inputs, outputs, parameters):
+    
+    module, function = method_name.rsplit('.',1)
+    mod = import_module(module)
+    method = getattr(mod, function)
+    method(inputs, outputs, parameters)
+
+
+

app/backend/block.py app/resources/backend/lib/block.py

@@ -0,0 +1,25 @@
+import cv2
+import numpy as np
+from time import sleep
+from utils.wires.wire_img import share_image
+from utils.tools.freq_monitor import monitor_frequency
+
+def loop(block_name, input_wires, output_wires, parameters, flags):
+
+    ticks = np.array([0])
+    if flags[0] == 1:
+        monitor_frequency(block_name, ticks)
+
+    cap = cv2.VideoCapture(0)
+
+    output_0 = share_image(output_wires[0])
+
+    try:
+        while True:
+            
+            ticks += 1
+            ret, frame = cap.read()
+            output_0.add(frame)
+            
+    except KeyboardInterrupt:
+        output_0.release()

app/resources/backend/lib/factory.py

@@ -0,0 +1,34 @@
+import cv2 as cv
+import numpy as np
+from time import sleep
+from utils.wires.wire_img import share_image, read_image
+from utils.tools.freq_monitor import monitor_frequency
+
+def loop(block_name, input_wires, output_wires, parameters, flags):
+
+    ticks = np.array([0])
+    if flags[0] == 1:
+        monitor_frequency(block_name, ticks)
+
+    input_0 = read_image(input_wires[0])
+    output_0 = share_image(output_wires[0])
+
+    lower_range = np.array([int(x.strip()) for x in parameters[0].split(',')])
+    upper_range = np.array([int(x.strip()) for x in parameters[1].split(',')])
+
+    while True:
+
+        sleep(0.01)
+        ticks += 1
+        frame = input_0.get()
+        
+        if frame is not None:
+
+            hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
+            mask = cv.inRange(hsv, lower_range, upper_range)
+            filtered = cv.bitwise_and(frame,frame, mask= mask)
+    
+            output_0.add(filtered)
+
+    input_0.release()
+    output_0.release()

app/backend/main.py app/resources/backend/main.py

@@ -0,0 +1,26 @@
+import cv2
+import numpy as np
+from time import sleep
+from utils.wires.wire_img import share_image
+from utils.tools.freq_monitor import monitor_frequency
+
+def loop(block_name, input_wires, output_wires, parameters, flags):
+
+    ticks = np.array([0])
+    if flags[0] == 1:
+        monitor_frequency(block_name, ticks)
+
+    image = cv2.imread(parameters[0], 1)
+
+    output_0 = share_image(output_wires[0])
+
+    try:
+        while True:
+            ticks[0] += 1
+            output_0.add(image)
+            sleep(0.03)
+            
+    except KeyboardInterrupt:
+        pass
+
+    shm_w.release()

app/resources/backend/modules/Camera100.py

@@ -0,0 +1,27 @@
+import cv2
+import numpy as np
+from time import sleep
+from utils.wires.wire_img import read_image
+from utils.tools.freq_monitor import monitor_frequency
+
+def loop(block_name, input_wires, output_wires, parameters, flags):
+
+    ticks = np.array([0])
+    if flags[0] == 1:
+        monitor_frequency(block_name, ticks)
+
+    input_0 = read_image(input_wires[0])
+
+    try:
+        while True:
+        
+            sleep(0.03)
+            ticks[0] += 1
+            img = input_0.get()
+            if img is not None:
+                cv2.imshow('Screen', img)
+                if cv2.waitKey(1) & 0xFF == ord('q'):
+                    break
+    
+    except KeyboardInterrupt:
+        input_0.release()

app/resources/backend/modules/ColorFilter100.py

@@ -0,0 +1,182 @@
+[net]
+# Testing
+batch=1
+subdivisions=1
+# Training
+# batch=64
+# subdivisions=2
+width=416
+height=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=1000
+max_batches = 500200
+policy=steps
+steps=400000,450000
+scales=.1,.1
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=1
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+###########
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=255
+activation=linear
+
+
+
+[yolo]
+mask = 3,4,5
+anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
+classes=80
+num=6
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 8
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=255
+activation=linear
+
+[yolo]
+mask = 0,1,2
+anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
+classes=80
+num=6
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1