Canvas logic split from main suite
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BIN
requirements.txt
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requirements.txt
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@ -1,5 +1,8 @@
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{
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"path": "",
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"out": "",
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"size": 750
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"out": {
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"img": "",
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"log": ""
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},
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"size": 100
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}
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103
src/helpers/canvas.py
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103
src/helpers/canvas.py
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@ -0,0 +1,103 @@
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import cv2
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import tkinter
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from PIL import ImageTk, Image
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import datetime
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import pathlib
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import os
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from helpers.logger import C_INFO, C_DONE, C_ERR
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class CVSuiteCanvas:
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def __init__(self, canvas):
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self.canvas = canvas
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self.name = "" # Name of current image
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self.imgs = [] # OpenCV Image data
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self.tk_imgs = [] # Tkinter Image data
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self.tags = [] # Tag data
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def add(self, data, name: str):
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"""
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Add CV2 image to canvas output
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"""
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self.imgs.append(data)
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self.tags.append(name)
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def clear(self):
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"""
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Clear canvas
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"""
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self.imgs = []
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self.tags = []
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def draw(self, size):
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"""
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Update canvas
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"""
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# Check if size of canvas has updated
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drawW = self.canvas.winfo_width()
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# Reset drawing position
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drawX = 0
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drawY = 0
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# Clear previously printed images
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self.tk_imgs = []
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# self.meta.config(state=tkinter.NORMAL)
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# self.meta.delete(1.0, tkinter.END)
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# self.meta.insert(tkinter.END, f"{self.img_name}\n")
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# Draw all output images
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for idx, data in enumerate(self.imgs):
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# Create ui image
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tk_img = cv2.cvtColor(data, cv2.COLOR_BGR2RGB)
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tk_img = ImageTk.PhotoImage(image=Image.fromarray(tk_img))
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self.tk_imgs.append(tk_img)
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## Check if next item will be out of range
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if drawX + size >= drawW:
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drawY += size
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drawX = 0
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self.canvas.configure(height=(drawY + size))
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self.canvas.create_image(
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drawX, drawY, anchor=tkinter.NW, image=self.tk_imgs[idx], tags="og"
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)
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# Add name to text box
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tag = self.canvas.create_text(drawX+5, drawY+5, anchor=tkinter.NW, text=F"{idx} {self.tags[idx]}", fill="black", font=('Helvetica 12 bold'))
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tag_bg = self.canvas.create_rectangle(self.canvas.bbox(tag), fill="white")
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self.canvas.tag_lower(tag_bg,tag)
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# self.meta.insert(tkinter.END, f"{idx}: {self.output[1][idx]}\n")
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drawX += size
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# Clear output
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# self.meta.config(state=tkinter.DISABLED)
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def export(self, id, name, path):
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"""
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Export id to file
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"""
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# Get export settings
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img_arr = self.tk_imgs
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print(C_INFO, f"Using path: {path}")
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if id >= 0 and id < len(img_arr):
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# Create file
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now = datetime.datetime.now()
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new_file_name = f"{name}-{self.tags[id]}-{now.strftime('%Y-%m-%dT%H.%M.%S')}.png"
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# Put data
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file_path = pathlib.Path(path, new_file_name)
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# print(file_path)
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img_pil = ImageTk.getimage(self.tk_imgs[id])
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img_pil.save(file_path, "PNG")
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img_pil.close()
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print(C_DONE, f"Exported Image ID {id} ({self.tags[id]}) to {os.path.join(path, new_file_name)}")
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else:
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print(C_ERR, "Nothing to export!")
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@ -194,8 +194,8 @@
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</child>
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<child>
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<object class="ttk.Button" id="button3">
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<property name="command" type="command" cbtype="simple">imgExport</property>
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<property name="text" translatable="yes">Export PNG</property>
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<bind sequence="<ButtonPress>" handler="apply" add="" />
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<layout manager="grid">
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<property name="column">1</property>
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<property name="columnspan">1</property>
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@ -225,25 +225,6 @@
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</layout>
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</object>
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</child>
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<child>
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<object class="tk.Text" id="dataset" named="True">
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<property name="height">15</property>
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<property name="pady">0</property>
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<property name="selectborderwidth">4</property>
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<property name="setgrid">false</property>
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<property name="state">normal</property>
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<property name="takefocus">true</property>
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<property name="text" translatable="yes">Image IDs should appear here</property>
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<property name="width">25</property>
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<property name="wrap">word</property>
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<layout manager="grid">
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<property name="column">4</property>
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<property name="columnspan">1</property>
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<property name="row">1</property>
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<property name="rowspan">7</property>
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</layout>
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</object>
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</child>
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<child>
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<object class="ttk.LabeledScale" id="s_bright" named="True">
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<property name="compound">bottom</property>
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@ -281,7 +262,7 @@
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</child>
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<child>
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<object class="ttk.Button" id="export" named="True">
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<property name="command" type="command" cbtype="with_wid">applyAll</property>
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<property name="command" type="command" cbtype="with_wid">imgCycle</property>
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<property name="text" translatable="yes">Export ID for entire dataset</property>
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<layout manager="grid">
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<property name="column">2</property>
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@ -297,14 +278,14 @@
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<property name="text" translatable="yes">Powered by ARNweb.nl & TomSelier.com</property>
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<layout manager="grid">
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<property name="column">4</property>
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<property name="columnspan">2</property>
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<property name="columnspan">1</property>
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<property name="row">8</property>
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</layout>
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</object>
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</child>
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<child>
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<object class="ttk.Button" id="analyse" named="True">
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<property name="command" type="command" cbtype="with_wid">applyAll</property>
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<property name="command" type="command" cbtype="with_wid">imgCycle</property>
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<property name="text" translatable="yes">Run analysis for entire dataset (!)</property>
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<layout manager="grid">
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<property name="column">2</property>
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@ -318,7 +299,7 @@
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<child>
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<object class="ttk.Button" id="prev_tree" named="True">
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<property name="command" type="command" cbtype="with_wid">imgCtl</property>
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<property name="text" translatable="yes">< Prev tree</property>
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<property name="text" translatable="yes">< Prev tag</property>
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<layout manager="grid">
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<property name="column">2</property>
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<property name="ipadx">10</property>
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@ -330,7 +311,7 @@
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<child>
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<object class="ttk.Button" id="next_tree" named="True">
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<property name="command" type="command" cbtype="with_wid">imgCtl</property>
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<property name="text" translatable="yes">Next tree ></property>
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<property name="text" translatable="yes">Next tag ></property>
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<layout manager="grid">
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<property name="column">3</property>
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<property name="ipadx">10</property>
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@ -347,27 +328,18 @@
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<property name="width">25</property>
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<property name="wrap">word</property>
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<layout manager="grid">
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<property name="column">5</property>
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<property name="column">4</property>
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<property name="columnspan">1</property>
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<property name="row">1</property>
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<property name="rowspan">7</property>
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</layout>
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</object>
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</child>
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<child>
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<object class="ttk.Label" id="l_meta" named="True">
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<property name="text" translatable="yes">Metadata</property>
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<layout manager="grid">
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<property name="column">4</property>
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<property name="row">0</property>
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</layout>
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</object>
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</child>
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<child>
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<object class="ttk.Label" id="l_tests" named="True">
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<property name="text" translatable="yes">Test results</property>
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<layout manager="grid">
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<property name="column">5</property>
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<property name="column">4</property>
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<property name="row">0</property>
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</layout>
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</object>
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import pathlib
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import datetime
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# Some feedback with colours to make console output easier to read
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C_INFO = "\u001b[96m*INFO*\u001b[0m\t" # Info - Cyan
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C_WARN = "\u001b[33m*WARN*\u001b[0m\t" # Warning - Orange
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C_ERR = "\u001b[31m*ERR*\u001b[0m\t" # Error - Red
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C_USER = "\u001b[35m*USER*\u001b[0m\t" # User input - Purple
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C_DONE = "\u001b[32m*DONE*\u001b[0m\t" # Done - Green
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C_DBUG = "\u001b[94m*DBUG*\u001b[0m\t" # Debug - Blue
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now = datetime.datetime.now()
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class Logger:
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class CVSuiteLogger:
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def __init__(self, path):
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self.fileName = pathlib.Path(
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path, f"result-{now.strftime('%Y-%m-%dT%H.%M.%S')}.csv"
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)
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self.file = open(self.fileName, "x")
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self.file = open(self.fileName, encoding="utf-8", mode="x")
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self.first = True
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self.index = []
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@ -19,15 +26,15 @@ class Logger:
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self.index.append(name)
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self.data.append(value)
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def csv(self, input):
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def csv(self, data):
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result = ""
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for idx, item in enumerate(input):
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for idx, item in enumerate(data):
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result += str(item)
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if idx != (len(input) - 1):
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if idx != (len(data) - 1):
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result += ", "
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result += "\n"
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print(result)
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# print(result)
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return result
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src/suite.py
213
src/suite.py
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#!/usr/bin/python3
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import pathlib
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import pygubu
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import glob
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import tkinter
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from PIL import ImageTk, Image
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import numpy as np
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import cv2
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import time
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import matplotlib.pyplot as plt
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import json
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import datetime
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import os
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import copy
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from io import open
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import numpy as np
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import cv2
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# GUI
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import pygubu
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import matplotlib.pyplot as plt
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# Helpers
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from helpers.statistics import imgStats
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from helpers.logger import Logger
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from helpers.logger import CVSuiteLogger, C_DBUG
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from helpers.canvas import CVSuiteCanvas
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## UI config load
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PROJECT_PATH = pathlib.Path(__file__).parent
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PROJECT_UI = "./src/helpers/gui/main.ui"
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TITLE = "Tree Recogniser 7000"
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## Config file load
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CONFIG_PATH = "./src/config/config.json"
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config_file = open(CONFIG_PATH)
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config_file = open(CONFIG_PATH, encoding="utf-8")
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config_json = json.load(config_file)
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log = Logger(config_json["out"])
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## UI class setup
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class MainApp:
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class CVSuite:
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def __init__(self, master=None):
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self.builder = builder = pygubu.Builder()
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builder.add_resource_path(PROJECT_PATH)
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builder.add_from_file(PROJECT_UI)
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# Main widget
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# Main window
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self.mainwindow = builder.get_object("main", master)
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# Canvas for output images
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self.canvas = builder.get_object("output_canvas")
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self.tk_imgs = [] # Required or python will forget
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self.meta = builder.get_object("dataset")
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self.output = [[] for x in range(2)]
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self.canvas = CVSuiteCanvas(builder.get_object("output_canvas"))
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# Log file
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self.log = CVSuiteLogger(config_json["out"]["log"])
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# Keep track of images in dataset
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self.img_current = 0
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@ -90,7 +90,7 @@ class MainApp:
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"""
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if plt is not None:
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plt.close() # Close graph vies
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log.file.close() # Close log files
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self.log.file.close() # Close log files
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self.mainwindow.quit() # Close main
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@ -108,19 +108,19 @@ class MainApp:
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# Determine detection based on widget id
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if cmd[0] == "next":
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dir = 1
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cdir = 1
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elif cmd[0] == "prev":
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dir = -1
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cdir = -1
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# Get name of current img
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start = copy.deepcopy(
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self.img_name.split("_")[0]
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) # deepcopy cus snaky boi language likes to create pointers
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next = start
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inext = start
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while start == next:
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while start == inext:
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# Check for limits
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self.img_current += dir
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self.img_current += cdir
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if self.img_current == self.img_max:
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self.img_current = 0
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elif self.img_current == -1:
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@ -130,43 +130,22 @@ class MainApp:
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break # Stop if only one image should be skipped
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elif cmd[1] == "tree":
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self.updatePath()
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next = copy.deepcopy(self.img_name.split("_")[0])
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inext = copy.deepcopy(self.img_name.split("_")[0])
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# Update UI
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self.update(self)
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def apply(self, event=None, path=None):
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def imgExport(self, event=None, path=config_json["out"]["img"]):
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"""
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Export current dataset
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Export given preprocess id to file
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"""
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# Get export settings
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img_arr = self.tk_imgs
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img_id = self.export_id.get()
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if path == None:
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path = config_json["out"]
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else:
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print(f"Using path: {path}")
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iid = self.export_id.get()
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self.canvas.export(iid, self.img_name.split("_")[0], path)
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if img_id >= 0 and img_id < len(img_arr):
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# Create file
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now = datetime.datetime.now()
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new_file_name = f"{self.img_current}-{self.output[1][img_id]}-{now.strftime('%Y-%m-%dT%H.%M.%S')}.png"
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# Put data
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file_path = pathlib.Path(path, new_file_name)
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# print(file_path)
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imgpil = ImageTk.getimage(self.tk_imgs[img_id])
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imgpil.save(file_path, "PNG")
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imgpil.close()
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print(f"Exported Image ID {img_id} to {os.path.join(path, new_file_name)}")
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else:
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print("Nothing to export!")
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def applyAll(self, widget_id):
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def imgCycle(self, widget_id):
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"""
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Export given preprocess id for every image in the dataset folder
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GUI Button callback
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Cycle through all images in the data set
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"""
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if widget_id == "export":
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export = True
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@ -179,14 +158,14 @@ class MainApp:
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if export:
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now = datetime.datetime.now()
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path = pathlib.Path(
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config_json["out"],
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f"{self.output[1][img_id]}-all-{now.strftime('%Y-%m-%dT%H.%M.%S')}/",
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config_json["out"]["img"],
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f"{self.canvas.tags[img_id]}-all-{now.strftime('%Y-%m-%dT%H.%M.%S')}/",
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)
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os.mkdir(path)
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while True:
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if export:
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self.apply(path=path)
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self.imgExport(path=path)
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self.imgCtl("next_img")
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if self.img_current == img_current:
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@ -195,52 +174,6 @@ class MainApp:
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## Ensure display is always correct with image
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self.update()
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def addOutput(self, data, name: str):
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"""
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Add CV2 image to canvas output
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"""
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self.output[0].append(data)
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self.output[1].append(name)
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def drawOutput(self, size):
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# Check if size of canvas has updated
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drawW = self.canvas.winfo_width()
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# Reset drawing position
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drawX = 0
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drawY = 0
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# Clear previously printed images
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self.tk_imgs = []
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self.meta.config(state=tkinter.NORMAL)
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self.meta.delete(1.0, tkinter.END)
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self.meta.insert(tkinter.END, f"{self.img_name}\n")
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# Draw all output images
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for idx, data in enumerate(self.output[0]):
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# Create ui image
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tk_img = cv2.cvtColor(data, cv2.COLOR_BGR2RGB)
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||||
tk_img = ImageTk.PhotoImage(image=Image.fromarray(tk_img))
|
||||
self.tk_imgs.append(tk_img)
|
||||
|
||||
## Check if next item will be out of range
|
||||
if drawX + size >= drawW:
|
||||
drawY += size
|
||||
drawX = 0
|
||||
self.canvas.configure(height=(drawY + size))
|
||||
|
||||
self.canvas.create_image(
|
||||
drawX, drawY, anchor=tkinter.NW, image=self.tk_imgs[idx], tags="og"
|
||||
)
|
||||
drawX += size
|
||||
|
||||
# Add name to text box
|
||||
self.meta.insert(tkinter.END, f"{idx}: {self.output[1][idx]}\n")
|
||||
|
||||
# Clear output
|
||||
self.meta.config(state=tkinter.DISABLED)
|
||||
|
||||
def createPlot(self, columns, rows):
|
||||
fig, axs = plt.subplots(columns, rows)
|
||||
return axs
|
||||
@ -282,9 +215,9 @@ class MainApp:
|
||||
func = np.diag(results)
|
||||
diff = np.diff(func)
|
||||
area = sum(func)
|
||||
|
||||
|
||||
self.axs[column, row - 1].clear()
|
||||
self.axs[column, row - 1].title.set_text(F"Area: {area}")
|
||||
self.axs[column, row - 1].title.set_text(f"Area: {area}")
|
||||
self.axs[column, row - 1].plot(func)
|
||||
self.axs[column, row - 1].plot(diff)
|
||||
|
||||
@ -299,15 +232,15 @@ class MainApp:
|
||||
lambda x, pos: str(x * canny_step)
|
||||
)
|
||||
|
||||
log.add("Canny Mean", func.mean())
|
||||
log.add("Canny Std", func.std())
|
||||
log.add("Canny Min", func.min())
|
||||
log.add("Canny Max x", np.where(func==func.max())[0][0])
|
||||
log.add("Canny Max y", func.max())
|
||||
log.add("Canny Diff max y", diff.max())
|
||||
log.add("Canny Diff min x",np.where(diff==diff.min())[0][0])
|
||||
log.add("Canny Diff min y", diff.min())
|
||||
log.add("Canny Area", area)
|
||||
self.log.add("Canny Mean", func.mean())
|
||||
self.log.add("Canny Std", func.std())
|
||||
self.log.add("Canny Min", func.min())
|
||||
self.log.add("Canny Max x", np.where(func == func.max())[0][0])
|
||||
self.log.add("Canny Max y", func.max())
|
||||
self.log.add("Canny Diff max y", diff.max())
|
||||
self.log.add("Canny Diff min x", np.where(diff == diff.min())[0][0])
|
||||
self.log.add("Canny Diff min y", diff.min())
|
||||
self.log.add("Canny Area", area)
|
||||
|
||||
def writeStats(self, img, labels, column, row):
|
||||
mean, std = imgStats(img)
|
||||
@ -330,8 +263,8 @@ class MainApp:
|
||||
)
|
||||
|
||||
for idx, label in enumerate(labels):
|
||||
log.add(f"Mean {label}", mean[idx])
|
||||
log.add(f"Std {label}", std[idx])
|
||||
self.log.add(f"Mean {label}", mean[idx])
|
||||
self.log.add(f"Std {label}", std[idx])
|
||||
|
||||
def updatePath(self):
|
||||
"""
|
||||
@ -357,7 +290,7 @@ class MainApp:
|
||||
def update(self, event=None, part_update=None):
|
||||
## Check if hist and canny hm have to be rerendered
|
||||
if (
|
||||
part_update == None
|
||||
part_update is None
|
||||
): ## If partial update has not been forced, check if full update is required
|
||||
if self.img_current != self.img_old or self.img_size != self.img_size_old:
|
||||
part_update = False
|
||||
@ -372,7 +305,10 @@ class MainApp:
|
||||
print("Full update forced!")
|
||||
|
||||
if self.updatePath():
|
||||
log.add("Tree", self.img_name.split("_")[0])
|
||||
print(C_DBUG, F"Processing {self.img_name}")
|
||||
|
||||
self.mainwindow.title(F"{TITLE} - {self.img_name}")
|
||||
self.log.add("Tree", self.img_name.split("_")[0])
|
||||
|
||||
# Get all user vars
|
||||
ct1 = self.canny_thr1.get()
|
||||
@ -383,17 +319,17 @@ class MainApp:
|
||||
bright = self.brightness.get()
|
||||
|
||||
# Clear output
|
||||
self.output = [[] for x in range(2)]
|
||||
self.canvas.clear()
|
||||
|
||||
# Import and resize image
|
||||
# img = cv2.imread(images[self.img_current])
|
||||
img = cv2.imread(os.path.join(self.img_path.get(), self.img_name))
|
||||
# img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
|
||||
self.addOutput(img, "Original")
|
||||
img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)
|
||||
self.canvas.add(img, "Original")
|
||||
|
||||
# Set grayscale
|
||||
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
|
||||
self.addOutput(img_gray, "Grayscale")
|
||||
self.canvas.add(img_gray, "Grayscale")
|
||||
|
||||
# Contrast / brightness boost
|
||||
contrast_val = contrast / 100
|
||||
@ -401,12 +337,12 @@ class MainApp:
|
||||
img_contrast = np.clip(
|
||||
contrast_val * (img_gray + bright_val), 0, 255
|
||||
).astype(np.uint8)
|
||||
# self.addOutput(img_contrast, F"Contrast / Brightness\n c+{contrast_val} b+{bright_val}")
|
||||
self.addOutput(img_contrast, f"BCG")
|
||||
# self.canvas.add(img_contrast, F"Contrast / Brightness\n c+{contrast_val} b+{bright_val}")
|
||||
self.canvas.add(img_contrast, f"BCG")
|
||||
|
||||
# Blurred edition
|
||||
img_blur = cv2.GaussianBlur(img_gray, (3, 3), 0)
|
||||
self.addOutput(img_blur, "Blurred_k3")
|
||||
self.canvas.add(img_blur, "Blurred_k3")
|
||||
|
||||
# Sobel edge
|
||||
if sxy in ["x", "y", "both"]:
|
||||
@ -426,17 +362,17 @@ class MainApp:
|
||||
else:
|
||||
img_sobel = img_gray
|
||||
|
||||
self.addOutput(img_sobel, "Sobel_edge")
|
||||
log.add("Sobel nonzero", cv2.countNonZero(img_sobel))
|
||||
self.canvas.add(img_sobel, "Sobel_edge")
|
||||
self.log.add("Sobel nonzero", cv2.countNonZero(img_sobel))
|
||||
|
||||
# Canny edge
|
||||
img_canny = cv2.Canny(image=img_blur, threshold1=ct1, threshold2=ct2)
|
||||
self.addOutput(img_canny, "Canny_edge")
|
||||
self.canvas.add(img_canny, "Canny_edge")
|
||||
|
||||
# BGR
|
||||
self.addOutput(img[:, :, 0], "BGR_B")
|
||||
self.addOutput(img[:, :, 1], "BGR_G")
|
||||
self.addOutput(img[:, :, 2], "BGR_R")
|
||||
self.canvas.add(img[:, :, 0], "BGR_B")
|
||||
self.canvas.add(img[:, :, 1], "BGR_G")
|
||||
self.canvas.add(img[:, :, 2], "BGR_R")
|
||||
|
||||
if img is not None:
|
||||
self.drawHist(img, ("B", "G", "R"), 0, 0)
|
||||
@ -444,10 +380,10 @@ class MainApp:
|
||||
|
||||
# HSV
|
||||
img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
|
||||
self.addOutput(img_hsv, "HSV")
|
||||
self.addOutput(img_hsv[:, :, 0], "HSV_H") # H
|
||||
self.addOutput(img_hsv[:, :, 1], "HSV_S") # S
|
||||
self.addOutput(img_hsv[:, :, 2], "HSV_V") # V
|
||||
self.canvas.add(img_hsv, "HSV")
|
||||
self.canvas.add(img_hsv[:, :, 0], "HSV_H") # H
|
||||
self.canvas.add(img_hsv[:, :, 1], "HSV_S") # S
|
||||
self.canvas.add(img_hsv[:, :, 2], "HSV_V") # V
|
||||
|
||||
if not part_update:
|
||||
if img_hsv is not None:
|
||||
@ -460,14 +396,15 @@ class MainApp:
|
||||
|
||||
# Write results to CSV file
|
||||
if not part_update:
|
||||
log.update()
|
||||
self.log.update()
|
||||
else:
|
||||
log.clear() # Prevent partial updates from breaking log
|
||||
self.log.clear() # Prevent partial updates from breaking log
|
||||
|
||||
# Show all data
|
||||
plt.show(block=False) ## Graphs
|
||||
self.drawOutput(size) ## Images
|
||||
self.canvas.draw(size) ## Images
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app = MainApp()
|
||||
app = CVSuite()
|
||||
app.run()
|
||||
|
Loading…
Reference in New Issue
Block a user