Thaloria/Litcraft_Python_B
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refactor digging

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Thaloria
2022-05-01 17:18:19 +02:00
parent 3691bb9f78
commit 6d6cabfa42
1 changed files with 59 additions and 44 deletions
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47
digging_main.py
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@@ -16,6 +16,9 @@ def run():
# initialize the user-class
config = UserConfigs()
# PLOT_TO_USE = "business"
PLOT_TO_USE = "main_plot"
# initialize the StunWindowCapture class
try:
capture_window = WindowCapture(
@@ -27,6 +30,9 @@ def run():
# capture_window = cv.VideoCapture("snip_slam.mp4")
video_mode = True
# plot_to_use = "business"
plot_to_use = "main_plot"
# initialize the StunVision class
vision_stun = Vision()
# initialize the StunOverlay class
@@ -49,8 +55,6 @@ def run():
print("pausing")
continue
if video_mode:
break
else:
@@ -67,24 +71,25 @@ def run():
# continue
needles = []
#needles.append(cv.imread("wtf.jpg", cv.IMREAD_UNCHANGED))
if PLOT_TO_USE == "business":
needles.append(cv.imread("dig/Brown0.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("dig/1.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("dig/2.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("dig/3.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("dig/4.jpg", cv.IMREAD_UNCHANGED))
#needles.append(cv.imread("H1.jpg", cv.IMREAD_UNCHANGED))
#needles.append(cv.imread("H2.jpg", cv.IMREAD_UNCHANGED))
#needles.append(cv.imread("H3.jpg", cv.IMREAD_UNCHANGED))
#needles.append(cv.imread("H4.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D1.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D2.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D3.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D3.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D4.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D5.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D6.jpg", cv.IMREAD_UNCHANGED))
# needles.append(cv.imread("D7.jpg", cv.IMREAD_UNCHANGED))
else:
needles.append(cv.imread("H1.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("H2.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("H3.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("H4.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D1.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D2.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D3.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D3.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D4.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D5.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D6.jpg", cv.IMREAD_UNCHANGED))
needles.append(cv.imread("D7.jpg", cv.IMREAD_UNCHANGED))
for needle in needles:
# do object detection
@@ -131,8 +136,10 @@ def run():
pause = True
break
if PLOT_TO_USE == "main_plot":
screenshot = capture_window.get_screenshot()
rectangles = vision_stun.find(screenshot, cv.imread("dig/ok_button.jpg", cv.IMREAD_UNCHANGED), 0.8, 1)
rectangles = vision_stun.find(screenshot, cv.imread("dig/ok_button.jpg", cv.IMREAD_UNCHANGED), 0.8,
1)
# draw the detection results onto the original image
output_image = vision_stun.draw_rectangles(screenshot, rectangles)
if len(rectangles) == 1:
@@ -153,6 +160,14 @@ def run():
if keyboard.is_pressed('p') == True or pause == True:
pause = True
break
if keyboard.is_pressed('p') == True or pause == True:
pause = True
break
if keyboard.is_pressed('p') == True or pause == True:
pause = True
break
# debug the loop rate
print('FPS {}'.format(1 / (time() - loop_time)))