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Canny F U N C

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This commit is contained in:
Arne van Iterson 2023-09-28 16:07:18 +02:00
parent a8c7581fac
commit 0738cb6a52
1 changed files with 18 additions and 5 deletions
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23
src/suite.py
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@ -41,7 +41,8 @@ class MainApp:
# Keep track of images in dataset
self.img_current = 0
self.img_old = -1
self.img_name = ""
self.img_old = -1 ## minus 1 to enforce full update on start
self.img_max = 0
# Plots
@ -129,6 +130,9 @@ class MainApp:
print("Nothing to export!")
def apply_all(self, event=None):
'''
Export given preprocess id for every image in the dataset folder
'''
img_id = self.export_id.get()
img_current = copy.deepcopy(self.img_current)
@ -167,6 +171,7 @@ class MainApp:
self.meta.config(state=NORMAL)
self.meta.delete(1.0, END)
self.meta.insert(END, f"{self.img_name[1]}\n")
# Draw all output images
for idx, data in enumerate(self.output[0]):
@ -233,7 +238,14 @@ class MainApp:
# print(f"Result at thres {th1}, {th2}; \tIndex {y_ind}, {x_ind} \t= {w_res}")
# print(results[y_ind])
self.axs[column, row].title.set_text(F"Mean: {np.matrix(results).mean()}")
func = np.diag(results)
self.axs[column, row-1].clear()
self.axs[column, row-1].title.set_text("Canny F U N C")
self.axs[column, row-1].plot(func)
self.axs[column, row-1].plot(np.diff(func))
self.axs[column, row].title.set_text(F"Mean: {np.matrix(results).mean()}\nStd: {np.matrix(results).std()}")
self.axs[column, row].imshow(results)
self.axs[column, row].xaxis.set_major_formatter(lambda x, pos: str(x*canny_step))
self.axs[column, row].yaxis.set_major_formatter(lambda x, pos: str(x*canny_step))
@ -241,7 +253,7 @@ class MainApp:
def writeStats(self, img, labels, column, row):
mean, std = imgStats(img)
self.axs[column, row].title.set_text(
"mean: %c:%d %c:%d %c:%d \n std: %c:%d %c:%d %c:%d"
"Mean: %c:%d %c:%d %c:%d \nStd: %c:%d %c:%d %c:%d"
%(labels[0], mean[0], labels[1], mean[1], labels[2], mean[2],
labels[0], std[0], labels[1], std[1], labels[2], std[2]))
@ -262,10 +274,11 @@ class MainApp:
if path != None and path != "":
# Get all images at current path
images = []
for file in glob.glob(path + "/*.png"):
for file in glob.glob(path + "/*.jpg"):
images.append(file)
self.img_max = len(images)
self.img_name = os.path.split(images[self.img_current])
# Get all user vars
ct1 = self.canny_thr1.get()
@ -319,7 +332,6 @@ class MainApp:
# Canny edge
img_canny = cv2.Canny(image=img_blur,threshold1=ct1,threshold2=ct2)
self.add_output(img_canny, "Canny_edge")
self.writeStats(img, ('B', 'G', 'R'), 0, 0)
# BGR
self.add_output(img[:, :, 0], "BGR_B")
@ -328,6 +340,7 @@ class MainApp:
if img is not None:
self.drawHist(img, ('B', 'G', 'R'), 0, 0)
self.writeStats(img, ('B', 'G', 'R'), 0, 0)
# HSV
img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)