Mostly functional again after imagepipeline module refactor

This commit is contained in:
John McCardle 2021-12-28 19:46:52 -05:00
commit f02313da39
3 changed files with 118 additions and 105 deletions

View file

@ -3,97 +3,42 @@ import numpy as np
import typing
import pointcluster
class Rect:
def __init__(self, *args, label=None, **kwargs):
if len(args) == 4 and all([type(i) is int or type(i) is float for i in args]):
self.x, self.y, self.w, self.h = args
elif len(args) == 2 and all([type(i) is tuple and len(i) == 2 and all([type(j) is int or type(j) is float for j in i]) for i in args]):
xy, wh = self.args
self.x, self.y = xy
self.w, self.h = wh
elif all([k in kwargs for k in ("x", "y", "w", "h")]):
self.x = kwargs["x"]
self.y = kwargs["y"]
self.w = kwargs["w"]
self.h = kwargs["h"]
elif all([k in kwargs for k in ("x", "y", "x2", "y2")]):
self.x = kwargs["x"]
self.y = kwargs["y"]
self.w = kwargs["x2"] - self.x
self.h = kwargs["y2"] - self.y
elif all([k in kwargs for k in ("x1", "y1", "x2", "y2")]):
self.x = kwargs["x1"]
self.y = kwargs["y1"]
self.w = kwargs["x2"] - self.x
self.h = kwargs["y2"] - self.y
else:
raise RuntimeError("Rect requires 4 values: two coordinates or a coordinate plus width and height.")
self.label = label
def __repr__(self):
return f"<Rect label={repr(self.label)}, (({self.x}, {self.y}), ({self.w}, {self.h}))>"
def __iter__(self):
yield (self.x, self.y)
yield (self.w, self.h)
def __getitem__(self, i):
if i == 0: return (self.x, self.y)
elif i == 1: return (self.w, self.h)
else: raise IndexError("Rect only supports index of 0 or 1.")
def __setitem__(self, i, value):
assert i in (0, 1) and len(value) == 2
if not i: self.x, self.y = value
else: self.w, self.h = value
@property
def point(self):
return (self.x, self.y)
@property
def point2(self):
return (self.x + self.w, self.y + self.h)
from shapes import Rect
from utility import *
class CVImage:
"""Dummy definition to allow recursive type hints"""
pass
class CVImage:
def __init__(self, label="", img:np.ndarray=None, color:bool=False, **kwargs):
def __init__(self, label="", img:np.ndarray=None, **kwargs):
"""You can provide a 'filename' keyword arg to automatically load a file."""
self.label = label
self.image = img
self.iscolor = color
self._init_kwargs = kwargs
if kwargs:
load_kwargs = dict(kwargs) # copy
load_kwargs["color"] = color # share arg between both functions
self.load(**load_kwargs)
def load(self, filename:str, color:bool=False, label:str=None):
@property
def is_color(self):
return len(self.image.shape) == 3
def load(self, filename:str, label:str=None):
"""Load an image from file. You can optionally set the 'label' keyword."""
self.image = cv2.imread(filename, int(color))
self.image = cv2.imread(filename)
if label: self.label = label
return self
def from_pil(self, pil_img, color=False):
self.image = np.array(pil_img)
self.image = self.image[:, :, ::-1].copy()
self.color = None # force check in cv2.cvtColor
self.image = self.convert_color(color)
def convert_color(self, color:bool):
if color == self.iscolor: return self.image
return cv2.cvtColor(self.image, cv2.COLOR_GRAY2BGR if color else cv2.COLOR_BGR2GRAY)
def __repr__(self):
if self._init_kwargs:
kwargstr = ", " + ", ".join([f"{k}={repr(self._init_kwargs[k])}" for k in self._init_kwargs])
else:
kwargstr = ''
return f"<CVImage label={repr(self.label)}, image={self.image.shape} px, iscolor={self.iscolor}{kwargstr}>"
return f"<CVImage label={repr(self.label)}, image={self.image.shape} px, is_color={self.is_color}{kwargstr}>"
def copy(self):
return np.copy(self.image)
@ -107,9 +52,9 @@ class CVImage:
def mask(self, rect, mask_color=None, nonmask_color=None):
assert all((len(rect)==2, len(rect[0])==2, len(rect[1])==2)) #((x,y),(w,h))
if mask_color is None:
mask_color = (0, 0, 0) if self.iscolor else 0
mask_color = (0, 0, 0) if self.is_color else 0
if nonmask_color is None:
nonnmask_color = (255, 255, 255) if self.iscolor else 255
nonmask_color = (255, 255, 255) if self.is_color else 255
mask = np.full(self.image.shape, nonmask_color, dtype=np.uint8)
cv2.rectangle(mask, *rect, color=mask_color, thickness=cv2.FILLED)
return cv2.bitwise_and(self.image, mask)
@ -120,7 +65,7 @@ class CVImage:
return pointcluster.cluster_set([k.pt for k in keypoints], cluster_radius)
@staticmethod
def blob_params(cls, *, minThreshold = 10, maxThreshold = 200,
def blob_params(*, minThreshold = 10, maxThreshold = 200,
minArea = None, maxArea = None,
minCircularity = None, maxCircularity = None,
minConvexity = None, maxConvexity = None,
@ -137,7 +82,7 @@ class CVImage:
if minConvexity: p.minConvexity = minConvexity
if maxConvexity: p.maxConvexity = maxConvexity
if minInertiaRatio or maxInertiaRatio:
p.filterByInertiaRatio = True
p.filterByInertia = True
if minInertiaRatio: p.minInertiaRatio = minInertiaRatio
if maxInertiaRatio: p.maxInertiaRatio = maxInertiaRatio
if minCircularity or maxCircularity:
@ -159,14 +104,20 @@ class CVImage:
return rects
def template_detect(self, template:CVImage, threshold:int, dupe_spacing:int) -> typing.List[Rect]:
h, w = template.image.shape
if template.is_color:
h, w, _ = template.image.shape
else:
h, w = template.image.shape
if template.is_color != self.is_color:
template = CVImage(template.label, template.convert_color(not template.is_color))
res = cv2.matchTemplate(self.image, template.image, cv2.TM_CCOEFF_NORMED)
loc = np.where(rec >= threshold)
loc = np.where(res >= threshold)
rects = []
for pt in zip(*loc[::-1]):
if len(rects) > 0:
if squared_distance(rects[-1][0], pt) < dupe_spacing: continue
rects.append(Rect(*pt, w, h, label=template.label))
rects.append(Rect(x=pt[0], y=pt[1], w=w, h=h, label=template.label))
return rects
def show(self, delay=0):
cv2.imshow(self.label, self.image)
@ -174,20 +125,20 @@ class CVImage:
def draw_rect(self, rect:Rect, color=None, text_color=None, text:bool=True, thickness=1):
if color is None:
color = (255, 255, 255) if self.iscolor else 255
color = (255, 255, 255) if self.is_color else 255
cv2.rectangle(self.image, rect.point, rect.point2, color, thickness)
if text:
self.draw_text(rect.label, rect.point, text_color if text_color else color)
def draw_poly(self, points:typing.List[typing.Tuple], closed=True, color=None):
if color is None:
color = (255, 255, 255) if self.iscolor else 255
color = (255, 255, 255) if self.is_color else 255
cv2.polylines(self.image, np.int32([points]), closed, color)
def draw_circle(self, center, radius, thickness = 1):
def draw_circle(self, center, radius, color=None, thickness = 1):
if color is None:
color = (255, 255, 255) if self.iscolor else 255
cv2.circle(self.image, np.int32(center), radius, color, thickness)
color = (255, 255, 255) if self.is_color else 255
cv2.circle(self.image, np.int32(center), np.int32(radius), color, thickness)
def draw_text(self, text, point, color):
cv2.putText(self.image, text, np.int32(point), cv2.FONT_HERSHEY_PLAIN, 1.0, color)