295 lines
12 KiB
Python
295 lines
12 KiB
Python
import gameio
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import cv2
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import numpy as np
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from functools import wraps
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from utility import *
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import pointcluster
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from imagepipeline import CVImage, ImagePipeline
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class GameModel:
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"""Platform-independent representation of the game's state."""
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def __init__(self, io:gameio.AbstractGameIO):
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self.gameio = io
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self.asteroids = [
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CVImage("big", filename = "images/game_assets/rock-big.png"),
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CVImage("normal", filename = "images/game_assets/rock-normal.png"),
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CVImage("small", filename = "images/game_assets/rock-small.png")
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]
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self.ships = [
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CVImage("ship_off", filename = "images/game_assets/spaceship-off.png"),
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CVImage("ship_on", filename = "images/game_assets/spaceship-on.png")
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]
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#self.missile = ("missile", cv2.imread("images/game_assets/missile.png", 0))
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self.frame = None
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self.prev_frame = None
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self.color_frame = None
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self.score_img = None
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self.lives_img = None
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self.lives_rect = ((10,10), (190, 65))
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self.score_rect = ((600, 25), (780, 65))
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self.cv_template_thresh = 0.6 # reconfigurable at runtime
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self.duplicate_dist_thresh = 36
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def with_frame(fn):
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"""Decorator to process screenshot to cv2 format once upon first requirement, then reuse."""
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@wraps(fn)
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def inner(self, *args, **kwargs):
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if self.frame is None:
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## #print("Fetching frame.")
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sshot = self.gameio.fetch_sshot()
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open_cv_image = np.array(sshot)
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# Convert RGB to BGR
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array = open_cv_image[:, :, ::-1].copy()
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self.color_frame = CVImage("gameio frame", np.copy(array))
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## self.frame = cv2.cvtColor(self.frame, cv2.COLOR_BGR2GRAY)
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self.frame = CVImage("BW frame", self.color_frame.copy())
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self.frame.image = self.frame.convert_color(False)
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self.mask_frame()
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print(self.frame)
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return fn(self, *args, **kwargs)
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return inner
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def mask_frame(self):
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## self.lives_img = self.frame[self.lives_rect[0][0]:self.lives_rect[0][1],
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## self.lives_rect[1][0]:self.lives_rect[1][1]]
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## lives_mask = np.full(self.frame.shape, 255, dtype=np.uint8)
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##
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## cv2.rectangle(lives_mask,
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## *self.lives_rect,
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## color=0, thickness=cv2.FILLED)
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##
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## self.score_img = self.frame[self.score_rect[0][0]:self.score_rect[0][1],
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## self.score_rect[1][0]:self.score_rect[1][1]]
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## score_mask = np.full(self.frame.shape, 255, dtype=np.uint8)
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## cv2.rectangle(score_mask,
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## *self.score_rect,
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## color = 0, thickness=cv2.FILLED)
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## self.frame = cv2.bitwise_and(self.frame, lives_mask)
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## self.frame = cv2.bitwise_and(self.frame, score_mask)
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self.lives_img = CVImage("lives", self.frame.snip(self.lives_rect))
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self.frame.image = self.frame.mask(self.lives_rect)
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self.score_img = CVImage("score", self.frame.snip(self.score_rect))
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self.frame.image = self.frame.mask(self.score_rect)
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def clear_frame(self):
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self.prev_frame = frame
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self.frame = None
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@with_frame
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def find_asteroids(self):
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## asteroid_rects = []
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## for label, a in self.asteroids:
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## h, w = a.shape
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## res = cv2.matchTemplate(self.frame, a, cv2.TM_CCOEFF_NORMED)
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## loc = np.where( res >= self.cv_template_thresh)
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## for pt in zip(*loc[::-1]):
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## if not asteroid_rects or squared_distance(asteroid_rects[-1][0], pt) > self.duplicate_dist_thresh:
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## asteroid_rects.append((pt, (pt[0] + w, pt[1] + h), label))
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## return asteroid_rects
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results = []
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for a in self.asteroids:
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r = self.frame.template_detect(a,
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self.cv_template_thresh,
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self.duplicate_dist_thresh)
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results.extend(r)
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return results
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@with_frame
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def display_results(self, rects = [], pointsets = [], circles = []):
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"""Draws results on the current frame for test purposes."""
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## displayable = np.copy(self.color_frame)
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## cv2.rectangle(displayable, *self.lives_rect, (255,255,255), 1)
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## cv2.rectangle(displayable, *self.score_rect, (255,255,255), 1)
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displayable = CVImage("GameModel results", self.color_frame.copy())
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#else:
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# displayable = np.copy(self.color_frame)
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label_color = { "big": (255, 0, 0),
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"normal": (0, 255, 0),
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"small": (0, 0, 255),
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"missile": (0, 255, 128),
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"ship_on": (0, 0, 128),
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"ship_off": (0, 64, 128)}
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for r in rects:
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## cv2.rectangle(displayable, pt, wh, color, 1)
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## cv2.putText(displayable, label, pt,
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## cv2.FONT_HERSHEY_PLAIN,
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## 1.0, color)
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displayable.draw_rect(r, color=label_color[r.label])
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for ps in pointsets:
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## color = (0, 255, 255)
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## cv2.polylines(displayable, np.int32([ps]), True, color)
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displayable.draw_poly(ps, color=(0, 255, 255))
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for center, radius, label in circles:
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## color = (255, 255, 0)
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## cv2.circle(displayable, np.int32(center), int(radius), color, 1)
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## cv2.putText(displayable, label, np.int32(center),
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## cv2.FONT_HERSHEY_PLAIN,
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## 1.0, color)
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displayable.draw_circle(center, radius)
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displayable.draw_text(label, center, (255, 255, 0))
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displayable.show()
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@with_frame
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def frame_sift(self):
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## sift = cv2.SIFT_create()
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## kp_desc = {} # dict of (keypoints, descriptions) for all ship sprites
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## kp_desc["frame"] = sift.detectAndCompute(self.frame, None)
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## frame_kp, frame_desc = kp_desc["frame"]
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## for label, s in self.ships:
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## kp_desc[label] = sift.detectAndCompute(s, None)
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## bf = cv2.BFMatcher(cv2.NORM_L1, crossCheck=True)
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## matchsets = {}
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## for label in kp_desc:
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## _, desc = kp_desc[label]
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## matchsets[label] = bf.match(frame_desc, desc)
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## #return { "matchsets": matchsets,
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## # "kp_desc": kp_desc
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## # }
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ship_r = sqrt(rect_radius_squared(*self.ships[0].image.shape[:2]) * 0.85)
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#print(f"max radius^2: {ship_rsq}")
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#clusters = pointcluster.cluster_set([k.pt for k in frame_kp], sqrt(ship_rsq))
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#return clusters
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return self.frame.sift_clusters(cluster_radius = ship_r)
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@with_frame
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def find_ships(self):
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## ship_rects = []
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## for label, a in self.ships:
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## h, w = a.shape
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## res = cv2.matchTemplate(self.frame, a, cv2.TM_CCOEFF_NORMED)
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## loc = np.where( res >= self.cv_template_thresh)
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## for pt in zip(*loc[::-1]):
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## if not ship_rects or squared_distance(ship_rects[-1][0], pt) > self.duplicate_dist_thresh:
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## ship_rects.append((pt, (pt[0] + w, pt[1] + h), label))
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## return ship_rects
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results = []
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for a in self.ships:
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r = self.frame.template_detect(a,
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self.cv_template_thresh,
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self.duplicate_dist_thresh)
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results.extend(r)
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return results
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@with_frame
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def find_missiles(self):
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## # Setup SimpleBlobDetector parameters.
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## params = cv2.SimpleBlobDetector_Params()
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##
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## # Change thresholds
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## params.minThreshold = 10;
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## params.maxThreshold = 200;
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##
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## # Filter by Area.
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## params.filterByArea = True
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## #params.minArea = 1500
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## params.maxArea = 100
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##
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## # Filter by Circularity
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## #params.filterByCircularity = True
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## #params.minCircularity = 0.1
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##
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## # Filter by Convexity
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## params.filterByConvexity = True
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## params.minConvexity = 0.95
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##
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## # Filter by Inertia
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## params.filterByInertia = True
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## params.minInertiaRatio = 0.4
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##
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## detector = cv2.SimpleBlobDetector_create(params)
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## keypoints = detector.detect(cv2.bitwise_not(self.frame)) # inverted black/white frame
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p = CVImage.blob_params(minThreshold = 10, maxThreshold = 200,
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maxArea = 100,
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minConvexity = 0.95,
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minInertiaRatio = 0.4)
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return self.frame.blob_detect(size=9, params=p)
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#im_with_keypoints = cv2.drawKeypoints(self.frame, keypoints, np.array([]),
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# (0,0,255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
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#cv2.imshow("keypoints", im_with_keypoints)
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#cv2.waitKey(0)
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## s = 9 # pixels for the missile
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## rect_tuple = lambda pt: ((int(pt[0]-s/2),int(pt[1]-s/2)),
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## (int(pt[0]+s/2), int(pt[1]+s/2)),
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## "missile")
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## return [rect_tuple(k.pt) for k in keypoints]
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def analyse_frame(self):
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rocks = self.find_asteroids()
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#lives = self.find_ships()
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shots = self.find_missiles()
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clusters = self.frame_sift()
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labeled_objects = rocks + shots
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mystery_clusters = []
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# TODO: remove these comprehensions and document pretty utility functions.
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easy_find = lambda cluster: any(
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[(not cluster.max_distance or cluster.max_distance < max(lo[1][0] - lo[0][0], lo[1][1] - lo[0][1]))
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and point_in_rect(cluster.center, (lo[0], lo[1]))
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for lo in labeled_objects])
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hard_find = lambda cluster: any(
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[(not cluster.max_distance or cluster.max_distance < max(lo[1][0] - lo[0][0], lo[1][1] - lo[0][1]))
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and all([point_in_rect(p, (lo[0], lo[1]))
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for p in cluster.points])
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for lo in labeled_objects])
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# Allow me to explain/apologize.
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## The first term (cluster.max_distance < ...) stops big point clusters from
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## being regarded as smalll objects. (Player ship being matched "inside" a missile)
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## The second term (point_in_rect(...)) checks for a "cluster" inside a "rect".
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## easy_find just checks the center.
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## hard_find checks every point, in case the center is off.
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for i, c in enumerate(clusters):
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#if easy_find(c): continue
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if hard_find(c): continue
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mystery_clusters.append(c)
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r_circles = [(c.center, c.max_distance or 5, f"mystery_{i}") for i, c in enumerate(mystery_clusters)]
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gm.display_results(rects=labeled_objects, circles=r_circles)
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if __name__ == '__main__':
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import platform
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if platform.system() == "Windows":
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io = gameio.WindowsGameIO()
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# TODO: Detect OSX or show a message of sadness
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else:
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io = gameio.LinuxGameIO()
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#input("Press <enter> to locate the game at the start screen.")
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gm = GameModel(io)
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# for testing purposes, populating window location at top-left of my screen
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# io.loc is None when the title screen isn't found.
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# manually setting io.loc crops all screenshots as if the title was found.
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import pyscreeze
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io.loc = pyscreeze.Box(0, 25, 800, 599)
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from pprint import pprint
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#input("Press <enter> to detect asteroids on screen.")
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a_results = gm.find_asteroids()
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print(f"Found {len(a_results)} asteroids")
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#for a in a_results:
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# print(a[0]) # position tuple
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#gm.display_results(results)
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s_results = gm.frame_sift()
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ship_results = gm.find_ships()
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polygons = [c.points for c in s_results]
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##circles = [(c.center, c.max_distance, f"cluster_{i}") for i, c in enumerate(s_results)]
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r_circles = [(c.center, sqrt(rect_radius_squared(*gm.ships[0].image.shape[:2])), f"cluster_{i}") for i, c in enumerate(s_results)]
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missile_results = gm.find_missiles()
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##m_circles = [(pt, 10, f"missile_{i}") for i, pt in enumerate(missiles)]
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##pprint(a_results+ship_results+missile_results)
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rects = a_results
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if ship_results: rects.extend(ship_results)
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if missile_results: rects.extend(missile_results)
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gm.display_results(rects=rects, pointsets=polygons, circles=r_circles)
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gm.analyse_frame()
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