diff --git a/README.md b/README.md
index 8b291f6..f859d1b 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ Windows Holographic devices include the Microsoft HoloLens and the Microsoft Hol
 Additionally, to stay on top of the latest updates to Windows and the development tools, become
 a Windows Insider by joining the Windows Insider Program.
 
-   [Become a Windows Insider](https://insider.windows.com/)
+   [Become  Windows Insider](https://insider.windows.com/)
 
 ## Using the samples
 
diff --git a/Yolo_Algo/README.md b/Yolo_Algo/README.md
new file mode 100644
index 0000000..65d1b79
--- /dev/null
+++ b/Yolo_Algo/README.md
@@ -0,0 +1,7 @@
+# YOLO Object Detection for Hololens Video Stream
+
+Receives a video stream from Microsoft Hololens AR Headset on a local server and then processes the video. YOLO algorithm is applied to processed video.
+
+Create a file with name bin and download the weights from https://drive.google.com/drive/folders/0B1tW_VtY7onidEwyQ2FtQVplWEU. Change the model name accordingly in the sensor_receiver.py file and then run the python file.
+
+A stream of video signal is collected, it is processed for faster fps generation and then YOLO model is applied. Check and verify the active server-ports before running the python file.
diff --git a/Yolo_Algo/Yolo_sensor_receiver.py b/Yolo_Algo/Yolo_sensor_receiver.py
new file mode 100644
index 0000000..cabe94c
--- /dev/null
+++ b/Yolo_Algo/Yolo_sensor_receiver.py
@@ -0,0 +1,139 @@
+from __future__ import print_function
+import tensorflow as tf
+gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.82)
+sess = tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))
+
+import darkflow
+
+from darkflow.net.build import TFNet
+
+import argparse
+import socket
+import sys
+import binascii
+import struct
+from collections import namedtuple
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+
+options = {"model": "cfg/yolo.cfg", 
+           "load": "bin/yolo.weights", 
+           "threshold": 0.1, 
+           "gpu": 1.0}
+
+tfnet = TFNet(options)
+def boxing(original_img, predictions):
+    newImage = np.copy(original_img)
+
+    for result in predictions:
+        top_x = result['topleft']['x']
+        top_y = result['topleft']['y']
+
+        btm_x = result['bottomright']['x']
+        btm_y = result['bottomright']['y']
+
+        confidence = result['confidence']
+        label = result['label'] + " " + str(round(confidence, 3))
+
+        if confidence > 0.3:
+            newImage = cv2.rectangle(newImage, (top_x, top_y), (btm_x, btm_y), (255,0,0), 3)
+            newImage = cv2.putText(newImage, label, (top_x, top_y-5), cv2.FONT_HERSHEY_COMPLEX_SMALL , 0.8, (0, 230, 0), 1, cv2.LINE_AA)
+            
+    return newImage
+
+PROCESS = True
+
+# Definitions
+
+# Protocol Header Format
+# Cookie VersionMajor VersionMinor FrameType Timestamp ImageWidth
+# ImageHeight PixelStride RowStride
+SENSOR_STREAM_HEADER_FORMAT = "@IBBHqIIII"
+
+SENSOR_FRAME_STREAM_HEADER = namedtuple(
+    'SensorFrameStreamHeader',
+    'Cookie VersionMajor VersionMinor FrameType Timestamp ImageWidth ImageHeight PixelStride RowStride'
+)
+
+# Each port corresponds to a single stream type
+# Port for obtaining Photo Video Camera stream
+PV_STREAM_PORT = 23940
+
+
+def main(argv):
+    """Receiver main"""
+    parser = argparse.ArgumentParser()
+    required_named_group = parser.add_argument_group('named arguments')
+
+    required_named_group.add_argument("-a", "--host",
+                                      help="Host address to connect", required=True)
+    args = parser.parse_args(argv)
+
+    # Create a TCP Stream socket
+    try:
+        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    except (socket.error, msg):
+        print("ERROR: Failed to create socket. Code: " + str(msg[0]) + ', Message: ' + msg[1])
+        sys.exit()
+
+    print('INFO: socket created')
+
+    # Try connecting to the address
+    s.connect((args.host, PV_STREAM_PORT))
+
+    print('INFO: Socket Connected to ' + args.host + ' on port ' + str(PV_STREAM_PORT))
+
+    # Try receive data
+    try:
+        quit = False
+        while not quit:
+            reply = s.recv(struct.calcsize(SENSOR_STREAM_HEADER_FORMAT))
+            if not reply:
+                print('ERROR: Failed to receive data')
+                sys.exit()
+
+            data = struct.unpack(SENSOR_STREAM_HEADER_FORMAT, reply)
+
+            # Parse the header
+            header = SENSOR_FRAME_STREAM_HEADER(*data)
+
+            # read the image in chunks
+            image_size_bytes = header.ImageHeight * header.RowStride
+            image_data = bytes()
+            
+            while len(image_data) < image_size_bytes:
+                remaining_bytes = image_size_bytes - len(image_data)
+                image_data_chunk = s.recv(remaining_bytes)
+                if not image_data_chunk:
+                    print('ERROR: Failed to receive image data')
+                    sys.exit()
+                image_data += image_data_chunk
+
+            image_array = np.frombuffer(image_data, dtype=np.uint8).reshape((header.ImageHeight,
+                                        header.ImageWidth, header.PixelStride))
+            if PROCESS:
+
+                image_array=image_array[:,:,:3]
+
+               
+                results = tfnet.return_predict(image_array)
+                new_frame = boxing(image_array, results)
+               
+            
+            cv2.imshow('Photo Video Camera Stream',new_frame)
+
+            if cv2.waitKey(1) & 0xFF == ord('q'):
+                break
+    except KeyboardInterrupt:
+        pass
+
+    s.close()
+    cv2.destroyAllWindows()
+    cap.release()
+    out.release()
+    cv2.destroyAllWindows()
+
+if __name__ == "__main__":
+    main(sys.argv[1:])
+    #main(192.168.100)
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/coco.names b/Yolo_Algo/cfg/coco.names
new file mode 100644
index 0000000..5ec6eee
--- /dev/null
+++ b/Yolo_Algo/cfg/coco.names
@@ -0,0 +1,80 @@
+person
+bicycle
+car
+motorbike
+aeroplane
+bus
+train
+truck
+boat
+traffic light
+fire hydrant
+stop sign
+parking meter
+bench
+bird
+cat
+dog
+horse
+sheep
+cow
+elephant
+bear
+zebra
+giraffe
+backpack
+umbrella
+handbag
+tie
+suitcase
+frisbee
+skis
+snowboard
+sports ball
+kite
+baseball bat
+baseball glove
+skateboard
+surfboard
+tennis racket
+bottle
+wine glass
+cup
+fork
+knife
+spoon
+bowl
+banana
+apple
+sandwich
+orange
+broccoli
+carrot
+hot dog
+pizza
+donut
+cake
+chair
+sofa
+pottedplant
+bed
+diningtable
+toilet
+tvmonitor
+laptop
+mouse
+remote
+keyboard
+cell phone
+microwave
+oven
+toaster
+sink
+refrigerator
+book
+clock
+vase
+scissors
+teddy bear
+hair drier
+toothbrush
diff --git a/Yolo_Algo/cfg/extraction.cfg b/Yolo_Algo/cfg/extraction.cfg
new file mode 100644
index 0000000..75b7b43
--- /dev/null
+++ b/Yolo_Algo/cfg/extraction.cfg
@@ -0,0 +1,206 @@
+[net]
+batch=128
+subdivisions=1
+height=224
+width=224
+max_crop=320
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.1
+policy=poly
+power=4
+max_batches=1600000
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+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
+
+[maxpool]
+size=2
+stride=2
+
+[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]
+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]
+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]
+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]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1000
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[avgpool]
+
+[softmax]
+groups=1
+
+[cost]
+type=sse
+
diff --git a/Yolo_Algo/cfg/extraction.conv.cfg b/Yolo_Algo/cfg/extraction.conv.cfg
new file mode 100644
index 0000000..c86eae4
--- /dev/null
+++ b/Yolo_Algo/cfg/extraction.conv.cfg
@@ -0,0 +1,179 @@
+[net]
+batch=1
+subdivisions=1
+height=256
+width=256
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.5
+policy=poly
+power=6
+max_batches=500000
+
+[convolutional]
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[avgpool]
+
+[connected]
+output=1000
+activation=leaky
+
+[softmax]
+groups=1
+
diff --git a/Yolo_Algo/cfg/tiny-yolo-4c.cfg b/Yolo_Algo/cfg/tiny-yolo-4c.cfg
new file mode 100644
index 0000000..c89161c
--- /dev/null
+++ b/Yolo_Algo/cfg/tiny-yolo-4c.cfg
@@ -0,0 +1,134 @@
+[net]
+batch=64
+subdivisions=8
+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
+max_batches = 40100
+policy=steps
+steps=-1,100,20000,30000
+scales=.1,10,.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
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=45
+activation=linear
+
+[region]
+anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
+bias_match=1
+classes=4
+coords=4
+num=5
+softmax=1
+jitter=.2
+rescore=1
+
+object_scale=5
+noobject_scale=1
+class_scale=1
+coord_scale=1
+
+absolute=1
+thresh=.6
+random=1
diff --git a/Yolo_Algo/cfg/tiny-yolo-voc.cfg b/Yolo_Algo/cfg/tiny-yolo-voc.cfg
new file mode 100644
index 0000000..55a0648
--- /dev/null
+++ b/Yolo_Algo/cfg/tiny-yolo-voc.cfg
@@ -0,0 +1,134 @@
+[net]
+batch=64
+subdivisions=8
+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
+max_batches = 40100
+policy=steps
+steps=-1,100,20000,30000
+scales=.1,10,.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
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=125
+activation=linear
+
+[region]
+anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
+bias_match=1
+classes=20
+coords=4
+num=5
+softmax=1
+jitter=.2
+rescore=1
+
+object_scale=5
+noobject_scale=1
+class_scale=1
+coord_scale=1
+
+absolute=1
+thresh = .5
+random=1
diff --git a/Yolo_Algo/cfg/tiny-yolo.cfg b/Yolo_Algo/cfg/tiny-yolo.cfg
new file mode 100644
index 0000000..f7ede36
--- /dev/null
+++ b/Yolo_Algo/cfg/tiny-yolo.cfg
@@ -0,0 +1,134 @@
+[net]
+batch=64
+subdivisions=8
+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
+max_batches = 120000
+policy=steps
+steps=-1,100,80000,100000
+scales=.1,10,.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
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=425
+activation=linear
+
+[region]
+anchors = 0.738768,0.874946,  2.42204,2.65704,  4.30971,7.04493,  10.246,4.59428,  12.6868,11.8741
+bias_match=1
+classes=80
+coords=4
+num=5
+softmax=1
+jitter=.2
+rescore=1
+
+object_scale=5
+noobject_scale=1
+class_scale=1
+coord_scale=1
+
+absolute=1
+thresh = .6
+random=1
diff --git a/Yolo_Algo/cfg/v1.1/person-bottle.cfg b/Yolo_Algo/cfg/v1.1/person-bottle.cfg
new file mode 100644
index 0000000..56d3587
--- /dev/null
+++ b/Yolo_Algo/cfg/v1.1/person-bottle.cfg
@@ -0,0 +1,128 @@
+[net]
+batch=64
+subdivisions=2
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+saturation=.75
+exposure=.75
+hue = .1
+
+learning_rate=0.0005
+policy=steps
+steps=200,400,600,800,20000,30000
+scales=2.5,2,2,2,.1,.1
+max_batches = 40000
+
+[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=2
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[select]
+old_output=1470
+keep=4,14/20
+bins=49
+output=588
+activation=linear
+
+[detection]
+classes=2
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1.1/tiny-coco.cfg b/Yolo_Algo/cfg/v1.1/tiny-coco.cfg
new file mode 100644
index 0000000..b87ebdf
--- /dev/null
+++ b/Yolo_Algo/cfg/v1.1/tiny-coco.cfg
@@ -0,0 +1,125 @@
+[net]
+batch=64
+subdivisions=2
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+hue = .1
+saturation=.75
+exposure=.75
+
+learning_rate=0.0005
+policy=steps
+steps=200,400,600,800,100000,150000
+scales=2.5,2,2,2,.1,.1
+max_batches = 200000
+
+[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=2
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[connected]
+output= 4655
+activation=linear
+
+[detection]
+classes=80
+coords=4
+rescore=1
+side=7
+num=3
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
diff --git a/Yolo_Algo/cfg/v1.1/tiny-yolo-4c.cfg b/Yolo_Algo/cfg/v1.1/tiny-yolo-4c.cfg
new file mode 100644
index 0000000..398be64
--- /dev/null
+++ b/Yolo_Algo/cfg/v1.1/tiny-yolo-4c.cfg
@@ -0,0 +1,128 @@
+[net]
+batch=64
+subdivisions=2
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+saturation=.75
+exposure=.75
+hue = .1
+
+learning_rate=0.0005
+policy=steps
+steps=200,400,600,800,20000,30000
+scales=2.5,2,2,2,.1,.1
+max_batches = 40000
+
+[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=2
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[select]
+old_output=1470
+keep=8,14,15,19/20
+bins=49
+output=686
+activation=linear
+
+[detection]
+classes=4
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1.1/tiny-yolov1.cfg b/Yolo_Algo/cfg/v1.1/tiny-yolov1.cfg
new file mode 100644
index 0000000..4906596
--- /dev/null
+++ b/Yolo_Algo/cfg/v1.1/tiny-yolov1.cfg
@@ -0,0 +1,126 @@
+[net]
+batch=64
+subdivisions=2
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+saturation=.75
+exposure=.75
+hue = .1
+
+learning_rate=0.0005
+policy=steps
+steps=200,400,600,800,20000,30000
+scales=2.5,2,2,2,.1,.1
+max_batches = 40000
+
+[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=2
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[connected]
+output= 1470
+activation=linear
+
+[detection]
+classes=20
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
+
diff --git a/Yolo_Algo/cfg/v1.1/yolo-coco.cfg b/Yolo_Algo/cfg/v1.1/yolo-coco.cfg
new file mode 100644
index 0000000..d4ad818
--- /dev/null
+++ b/Yolo_Algo/cfg/v1.1/yolo-coco.cfg
@@ -0,0 +1,255 @@
+[net]
+batch=64
+subdivisions=4
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+hue = .1
+saturation=.75
+exposure=.75
+
+learning_rate=0.0005
+policy=steps
+steps=200,400,600,800,100000,150000
+scales=2.5,2,2,2,.1,.1
+max_batches = 200000
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+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
+
+[maxpool]
+size=2
+stride=2
+
+[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]
+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]
+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]
+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]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+#######
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[local]
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[connected]
+output= 4655
+activation=linear
+
+[detection]
+classes=80
+coords=4
+rescore=1
+side=7
+num=3
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
+
diff --git a/Yolo_Algo/cfg/v1.1/yolov1.cfg b/Yolo_Algo/cfg/v1.1/yolov1.cfg
new file mode 100644
index 0000000..795dcd5
--- /dev/null
+++ b/Yolo_Algo/cfg/v1.1/yolov1.cfg
@@ -0,0 +1,257 @@
+[net]
+batch=1
+subdivisions=1
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+saturation=1.5
+exposure=1.5
+hue=.1
+
+learning_rate=0.0005
+policy=steps
+steps=200,400,600,20000,30000
+scales=2.5,2,2,.1,.1
+max_batches = 40000
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=256
+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
+
+[maxpool]
+size=2
+stride=2
+
+[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]
+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]
+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]
+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]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+#######
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=2
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[local]
+size=3
+stride=1
+pad=1
+filters=256
+activation=leaky
+
+[dropout]
+probability=.5
+
+[connected]
+output= 1715
+activation=linear
+
+[detection]
+classes=20
+coords=4
+rescore=1
+side=7
+num=3
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
+
diff --git a/Yolo_Algo/cfg/v1/tiny-old.profile b/Yolo_Algo/cfg/v1/tiny-old.profile
new file mode 100644
index 0000000..0799061
Binary files /dev/null and b/Yolo_Algo/cfg/v1/tiny-old.profile differ
diff --git a/Yolo_Algo/cfg/v1/tiny.profile b/Yolo_Algo/cfg/v1/tiny.profile
new file mode 100644
index 0000000..e6635ae
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/tiny.profile
@@ -0,0 +1 @@
+€]q
]qa.
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-2c.cfg b/Yolo_Algo/cfg/v1/yolo-2c.cfg
new file mode 100644
index 0000000..791acc7
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-2c.cfg
@@ -0,0 +1,141 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.0001
+policy=steps
+steps=20,40,60,80,20000,30000
+scales=5,5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[convolutional]
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[connected]
+output=256
+activation=linear
+
+[connected]
+output=4096
+activation=leaky
+
+[dropout]
+probability=.5
+
+[select]
+old_output=1470
+keep=14,19/20
+bins=49
+output=588
+activation=linear
+
+[detection]
+classes=2
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-4c.cfg b/Yolo_Algo/cfg/v1/yolo-4c.cfg
new file mode 100644
index 0000000..c5923ed
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-4c.cfg
@@ -0,0 +1,237 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.001
+policy=steps
+steps=200,400,600,20000,30000
+scales=2.5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[convolutional]
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+#######
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=2
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[connected]
+output=4096
+activation=leaky
+
+[dropout]
+probability=.5
+
+[select]
+old_output=1470
+keep=8,14,15,19/20
+bins=49
+output=686
+activation=linear
+
+[detection]
+classes=4
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-full.cfg b/Yolo_Algo/cfg/v1/yolo-full.cfg
new file mode 100644
index 0000000..aa23c04
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-full.cfg
@@ -0,0 +1,234 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.001
+policy=steps
+steps=200,400,600,20000,30000
+scales=2.5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[convolutional]
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+#######
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=2
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[connected]
+output=4096
+activation=leaky
+
+[dropout]
+probability=.5
+
+[connected]
+output= 1470
+activation=linear
+
+[detection]
+classes=20
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-small.cfg b/Yolo_Algo/cfg/v1/yolo-small.cfg
new file mode 100644
index 0000000..4ef7199
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-small.cfg
@@ -0,0 +1,239 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.001
+policy=steps
+steps=200,400,600,20000,30000
+scales=2.5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[convolutional]
+filters=64
+size=7
+stride=2
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=192
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+#######
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=2
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[connected]
+output=512
+activation=leaky
+
+[connected]
+output=4096
+activation=leaky
+
+[dropout]
+probability=.5
+
+[connected]
+output= 1470
+activation=linear
+
+[detection]
+classes=20
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
+
diff --git a/Yolo_Algo/cfg/v1/yolo-tiny-extract.cfg b/Yolo_Algo/cfg/v1/yolo-tiny-extract.cfg
new file mode 100644
index 0000000..c845846
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-tiny-extract.cfg
@@ -0,0 +1,175 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.0001
+policy=steps
+steps=20,40,60,80,20000,30000
+scales=5,5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=-1
+output=0
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=0
+output=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=1
+output=2
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=2
+output=3
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=3
+output=4
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=4
+output=5
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=5
+output=6
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=6
+output=7
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[conv-extract]
+profile=cfg/v1/tiny.profile
+input=7
+output=8
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[extract]
+profile=cfg/v1/tiny.profile
+input=8
+output=9
+old=7,7,1024,256
+activation=linear
+
+[extract]
+profile=cfg/v1/tiny.profile
+input=9
+output=10
+old=256,4096
+activation=leaky
+
+[dropout]
+probability=1.
+
+[select]
+input=cfg/v1/tiny.profile,10
+old_output=1470
+keep=8,14,15,19/20
+bins=49
+output=686
+activation=linear
+
+[detection]
+classes=4
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-tiny-extract_.cfg b/Yolo_Algo/cfg/v1/yolo-tiny-extract_.cfg
new file mode 100644
index 0000000..818d1dc
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-tiny-extract_.cfg
@@ -0,0 +1,177 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.0001
+policy=steps
+steps=20,40,60,80,20000,30000
+scales=5,5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=-1
+output=0
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=0
+output=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=1
+output=2
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=2
+output=3
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=3
+output=4
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=4
+output=5
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=5
+output=6
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=6
+output=7
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[conv-extract]
+profile=cfg/v1/tiny-old.profile
+input=7
+output=8
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[extract]
+profile=cfg/v1/tiny-old.profile
+input=8
+output=9
+old=7,7,1024,256
+activation=linear
+
+[extract]
+profile=cfg/v1/tiny-old.profile
+input=9
+output=10
+old=256,4096
+activation=leaky
+
+[dropout]
+probability=1.
+
+[select]
+input=cfg/v1/tiny-old.profile,10
+old_output=1470
+keep=8,14,15,19/20
+bins=49
+output=686
+activation=linear
+
+[detection]
+classes=4
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+object_scale=2.5
+noobject_scale=2
+class_scale=2.5
+coord_scale=5
+
+save=11250
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-tiny.cfg b/Yolo_Algo/cfg/v1/yolo-tiny.cfg
new file mode 100644
index 0000000..a663310
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-tiny.cfg
@@ -0,0 +1,138 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.0001
+policy=steps
+steps=20,40,60,80,20000,30000
+scales=5,5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[convolutional]
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[connected]
+output=256
+activation=linear
+
+[connected]
+output=4096
+activation=leaky
+
+[dropout]
+probability=.5
+
+[connected]
+output= 1470
+activation=linear
+
+[detection]
+classes=20
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/v1/yolo-tiny4c.cfg b/Yolo_Algo/cfg/v1/yolo-tiny4c.cfg
new file mode 100644
index 0000000..f514bc5
--- /dev/null
+++ b/Yolo_Algo/cfg/v1/yolo-tiny4c.cfg
@@ -0,0 +1,141 @@
+[net]
+batch=64
+subdivisions=64
+height=448
+width=448
+channels=3
+momentum=0.9
+decay=0.0005
+
+learning_rate=0.0001
+policy=steps
+steps=20,40,60,80,20000,30000
+scales=5,5,2,2,.1,.1
+max_batches = 40000
+
+[crop]
+crop_width=448
+crop_height=448
+flip=0
+angle=0
+saturation = 1.5
+exposure = 1.5
+
+[convolutional]
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[connected]
+output=256
+activation=linear
+
+[connected]
+output=4096
+activation=leaky
+
+[dropout]
+probability=.5
+
+[select]
+old_output=1470
+keep=8,14,15,19/20
+bins=49
+output=686
+activation=linear
+
+[detection]
+classes=4
+coords=4
+rescore=1
+side=7
+num=2
+softmax=0
+sqrt=1
+jitter=.2
+object_scale=1
+noobject_scale=.5
+class_scale=1
+coord_scale=5
\ No newline at end of file
diff --git a/Yolo_Algo/cfg/yolo-voc.cfg b/Yolo_Algo/cfg/yolo-voc.cfg
new file mode 100644
index 0000000..7b34ecb
--- /dev/null
+++ b/Yolo_Algo/cfg/yolo-voc.cfg
@@ -0,0 +1,244 @@
+[net]
+batch=64
+subdivisions=8
+height=416
+width=416
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.0001
+max_batches = 45000
+policy=steps
+steps=100,25000,35000
+scales=10,.1,.1
+
+[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
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[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
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[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
+
+[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]
+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
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+
+#######
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[route]
+layers=-9
+
+[reorg]
+stride=2
+
+[route]
+layers=-1,-3
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=125
+activation=linear
+
+[region]
+anchors = 1.08,1.19,  3.42,4.41,  6.63,11.38,  9.42,5.11,  16.62,10.52
+bias_match=1
+classes=20
+coords=4
+num=5
+softmax=1
+jitter=.2
+rescore=1
+
+object_scale=5
+noobject_scale=1
+class_scale=1
+coord_scale=1
+
+absolute=1
+thresh = .6
+random=0
diff --git a/Yolo_Algo/cfg/yolo.cfg b/Yolo_Algo/cfg/yolo.cfg
new file mode 100644
index 0000000..854be6c
--- /dev/null
+++ b/Yolo_Algo/cfg/yolo.cfg
@@ -0,0 +1,258 @@
+[net]
+# Testing
+batch=1
+subdivisions=1
+# Training
+# batch=64
+# subdivisions=8
+width=608
+height=608
+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=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
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[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
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[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
+
+[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]
+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
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+
+#######
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[route]
+layers=-9
+
+[convolutional]
+batch_normalize=1
+size=1
+stride=1
+pad=1
+filters=64
+activation=leaky
+
+[reorg]
+stride=2
+
+[route]
+layers=-1,-4
+
+[convolutional]
+batch_normalize=1
+size=3
+stride=1
+pad=1
+filters=1024
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=425
+activation=linear
+
+
+[region]
+anchors =  0.57273, 0.677385, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828
+bias_match=1
+classes=80
+coords=4
+num=5
+softmax=1
+jitter=.3
+rescore=1
+
+object_scale=5
+noobject_scale=1
+class_scale=1
+coord_scale=1
+
+absolute=1
+thresh = .1
+random=1