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predict.py
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from collections import deque
from ultralytics import YOLO
import math
import time
import cv2
import os
def angle_between_lines(m1, m2=1):
if m1 != -1/m2:
angle = math.degrees(math.atan(abs((m2 - m1) / (1 + m1 * m2))))
return angle
else:
return 90.0
class FixedSizeQueue:
def __init__(self, max_size):
self.queue = deque(maxlen=max_size)
def add(self, item):
self.queue.append(item)
def pop(self):
self.queue.popleft()
def clear(self):
self.queue.clear()
def get_queue(self):
return self.queue
def __len__(self):
return len(self.queue)
model_path = os.path.join('runs','detect','train5','weights','best.pt')
model = YOLO(model_path)
video_path = os.path.join('videos','test1.mp4')
cap = cv2.VideoCapture(video_path)
ret = True
prevTime = 0
centroid_history = FixedSizeQueue(10)
start_time = time.time()
interval = 0.6
paused = False
angle = 0
prev_frame_time = 0
new_frame_time = 0
while ret:
ret, frame = cap.read()
if ret:
new_frame_time = time.time()
fps = 1/(new_frame_time-prev_frame_time)
prev_frame_time = new_frame_time
fps = int(fps)
fps = str(fps)
print(list(centroid_history.queue))
current_time = time.time()
if current_time - start_time >= interval and len(centroid_history)>0:
centroid_history.pop()
start_time = current_time
results = model.track(frame, persist=True,conf=0.35,verbose=False)
boxes = results[0].boxes
box = boxes.xyxy
rows,cols = box.shape
if len(box)!=0:
for i in range(rows):
x1,y1,x2,y2 = box[i]
x1,y1,x2,y2 = x1.item(),y1.item(),x2.item(),y2.item()
centroid_x = int((x1+x2)/2)
centroid_y = int((y1+y2)/2)
centroid_history.add((centroid_x, centroid_y))
cv2.circle(frame,(centroid_x, centroid_y),radius=3,color=(0,0,255),thickness=-1)
cv2.rectangle(frame,(int(x1),int(y1)),(int(x2),int(y2)),(0,0,255),2)
if len(centroid_history) > 1:
centroid_list = list(centroid_history.get_queue())
for i in range(1, len(centroid_history)):
# if math.sqrt(y_diff**2+x_diff**2)<7:
cv2.line(frame, centroid_history.get_queue()[i-1], centroid_history.get_queue()[i], (255, 0, 0), 4)
if len(centroid_history) > 1:
centroid_list = list(centroid_history.get_queue())
x_diff = centroid_list[-1][0] - centroid_list[-2][0]
y_diff = centroid_list[-1][1] - centroid_list[-2][1]
if(x_diff!=0):
m1 = y_diff/x_diff
if m1==1:
angle = 90
elif m1!=0:
angle = 90-angle_between_lines(m1)
if angle>=45:
print("ball bounced")
future_positions = [centroid_list[-1]]
for i in range(1, 5):
future_positions.append(
(
centroid_list[-1][0] + x_diff * i,
centroid_list[-1][1] + y_diff * i
)
)
print("Future Positions: ",future_positions)
for i in range(1,len(future_positions)):
cv2.line(frame, future_positions[i-1], future_positions[i], (0, 255, 0), 4)
cv2.circle(frame,future_positions[i],radius=3,color=(0,0,255),thickness=-1)
text = "Angle: {:.2f} degrees".format(angle)
cv2.putText(frame,text,(20,20),cv2.FONT_HERSHEY_PLAIN,1,(255,0,0),2)
cv2.putText(frame, f'FPS: {fps}', (20, 50), cv2.FONT_HERSHEY_SIMPLEX , 1, (255, 0, 0), 2)
frame_resized = cv2.resize(frame, (1000, 600))
cv2.imshow('frame',frame_resized)
key = cv2.waitKey(1)
if key & 0xFF == ord('q'):
break
elif key & 0xFF == ord(' '):
paused = not paused
while paused:
key = cv2.waitKey(30) & 0xFF
if key == ord(' '):
paused = not paused
elif key == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
# import numpy as np
# import cv2
# import time
# import os
# import math
# from collections import deque
# from ultralytics import YOLO
# def angle_between_lines(m1, m2=1):
# if m1 != -1/m2:
# angle = math.degrees(math.atan(abs((m2 - m1) / (1 + m1 * m2))))
# return angle
# else:
# return 90.0
# class FixedSizeQueue:
# def __init__(self, max_size):
# self.queue = deque(maxlen=max_size)
# def add(self, item):
# self.queue.append(item)
# def pop(self):
# self.queue.popleft()
# def clear(self):
# self.queue.clear()
# def get_queue(self):
# return self.queue
# def __len__(self):
# return len(self.queue)
# model_path = os.path.join('runs', 'detect', 'train5', 'weights', 'best.pt')
# model = YOLO(model_path)
# video_path = os.path.join('videos', 'test1.mp4')
# cap = cv2.VideoCapture(video_path)
# ret = True
# prevTime = 0
# centroid_history = FixedSizeQueue(10)
# start_time = time.time()
# interval = 0.6
# paused = False
# angle = 0
# prev_frame_time = 0
# new_frame_time = 0
# # Smoothing function for lines (Bezier curve)
# def create_bezier_curve(points, smoothness=50):
# t = np.linspace(0, 1, smoothness)
# curve = []
# for i in range(smoothness):
# x = (1 - t[i]) ** 2 * points[0][0] + 2 * (1 - t[i]) * t[i] * points[1][0] + t[i] ** 2 * points[2][0]
# y = (1 - t[i]) ** 2 * points[0][1] + 2 * (1 - t[i]) * t[i] * points[1][1] + t[i] ** 2 * points[2][1]
# curve.append([int(x), int(y)])
# return np.array(curve, dtype=np.int32)
# while ret:
# ret, frame = cap.read()
# if ret:
# new_frame_time = time.time()
# fps = 1/(new_frame_time-prev_frame_time)
# prev_frame_time = new_frame_time
# fps = int(fps)
# fps = str(fps)
# current_time = time.time()
# if current_time - start_time >= interval and len(centroid_history) > 0:
# centroid_history.pop()
# start_time = current_time
# results = model.track(frame, persist=True, conf=0.35, verbose=False)
# boxes = results[0].boxes
# box = boxes.xyxy
# rows, cols = box.shape
# if len(box) != 0:
# for i in range(rows):
# x1, y1, x2, y2 = box[i]
# x1, y1, x2, y2 = x1.item(), y1.item(), x2.item(), y2.item()
# centroid_x = int((x1 + x2) / 2)
# centroid_y = int((y1 + y2) / 2)
# centroid_history.add((centroid_x, centroid_y))
# cv2.circle(frame, (centroid_x, centroid_y), radius=3, color=(0, 0, 255), thickness=-1)
# cv2.rectangle(frame, (int(x1), int(y1)), (int(x2), int(y2)), (0, 0, 255), 2)
# # Smoothly connecting centroids using Bezier curve
# if len(centroid_history) > 2:
# centroid_list = list(centroid_history.get_queue())
# curve_points = []
# for i in range(1, len(centroid_history)):
# mid_point = (
# int((centroid_list[i - 1][0] + centroid_list[i][0]) / 2),
# int((centroid_list[i - 1][1] + centroid_list[i][1]) / 2)
# )
# curve_points.append(mid_point)
# bezier_curve = create_bezier_curve([centroid_list[0], curve_points[0], centroid_list[-1]])
# cv2.polylines(frame, [bezier_curve], isClosed=False, color=(255, 0, 0), thickness=3)
# # Calculate angle and future positions
# if len(centroid_history) > 1:
# centroid_list = list(centroid_history.get_queue())
# x_diff = centroid_list[-1][0] - centroid_list[-2][0]
# y_diff = centroid_list[-1][1] - centroid_list[-2][1]
# if x_diff != 0:
# m1 = y_diff / x_diff
# if m1 == 1:
# angle = 90
# elif m1 != 0:
# angle = 90 - angle_between_lines(m1)
# future_positions = [centroid_list[-1]]
# for i in range(1, 5):
# future_positions.append(
# (
# centroid_list[-1][0] + x_diff * i,
# centroid_list[-1][1] + y_diff * i
# )
# )
# # Smoothly connect future positions
# bezier_curve_future = create_bezier_curve([future_positions[0], future_positions[1], future_positions[-1]])
# cv2.polylines(frame, [bezier_curve_future], isClosed=False, color=(0, 255, 0), thickness=3)
# for pos in future_positions:
# cv2.circle(frame, pos, radius=3, color=(0, 0, 255), thickness=-1)
# text = "Angle: {:.2f} degrees".format(angle)
# cv2.putText(frame, text, (20, 20), cv2.FONT_HERSHEY_PLAIN, 1, (255, 0, 0), 2)
# cv2.putText(frame, f'FPS: {fps}', (20, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)
# frame_resized = cv2.resize(frame, (1000, 600))
# cv2.imshow('frame', frame_resized)
# key = cv2.waitKey(1)
# if key & 0xFF == ord('q'):
# break
# elif key & 0xFF == ord(' '):
# paused = not paused
# while paused:
# key = cv2.waitKey(30) & 0xFF
# if key == ord(' '):
# paused = not paused
# elif key == ord('q'):
# break
# cap.release()
# cv2.destroyAllWindows()