File size: 5,117 Bytes
3e79456 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 | import numpy as np
class ContactData():
''' Contains all info in one keystroke
Attributes:
id: a unique integer to number a keystroke with upper limit 16
state: 1 => the start of a keystroke, 2 => middle, 3 => the end
number of states that equal 1 or 3 can only be 1
label: -1 => unsure, 0 => negative, 1 => positive
'''
def __init__(self, id = 0, state = 0, x = 0, y = 0, area = 0, force = 0, major = 0, minor = 0,
delta_x = 0, delta_y = 0, delta_force = 0, delta_area = 0, label = 0, frame_id = 0):
self.id: int = id
self.state: int = state
self.x: float = x
self.y: float = y
self.area: float = area
self.force: float = force
self.major: float = major
self.minor: float = minor
self.delta_x: float = delta_x
self.delta_y: float = delta_y
self.delta_force: float = delta_force
self.delta_area: float = delta_area
self.label: int = label
self.frame_id: int = frame_id
def __str__(self):
contact_info = 'id: ' + str(self.id) + '\n' + 'state: ' + str(self.state) + '\n' \
+ 'x: ' + str(self.x) + '\n' + 'y: ' + str(self.y) + '\n' \
+'area: ' + str(self.area) + '\n' + 'force: ' + str(self.force) + '\n' \
+ 'major: ' + str(self.major) + '\n' + 'minor: ' + str(self.minor) + '\n' \
+ 'delta_x: ' + str(self.delta_x) + '\n' + 'delta_y: ' + str(self.delta_y) + '\n' \
+ 'delta_force: ' + str(self.delta_force) + '\n' + 'delta_area: ' + str(self.delta_area) + '\n' \
+ 'label: ' + str(self.label) + '\n' + 'frame_id: ' + str(self.frame_id)
return contact_info
def to_numpy(self):
return np.array([self.id, self.state, self.x, self.y, self.area, self.force, self.major, self.minor,
self.delta_x, self.delta_y, self.delta_force, self.delta_area, self.label, self.frame_id], dtype=np.float64)
def type_str(self):
type_info = 'id: ' + str(type(self.id)) + '\n' + 'state: ' + str(type(self.state)) + '\n' \
+ 'x: ' + str(type(self.x)) + '\n' + 'y: ' + str(type(self.y)) + '\n' \
+'area: ' + str(type(self.area)) + '\n' + 'force: ' + str(type(self.force)) + '\n' \
+ 'major: ' + str(type(self.major)) + '\n' + 'minor: ' + str(type(self.minor)) + '\n' \
+ 'delta_x: ' + str(type(self.delta_x)) + '\n' + 'delta_y: ' + str(type(self.delta_y)) + '\n' \
+ 'delta_force: ' + str(type(self.delta_force)) + '\n' + 'delta_area: ' + str(type(self.delta_area)) + '\n' \
+ 'label: ' + str(type(self.label)) + '\n' + 'frame_id: ' + str(type(self.frame_id))
return type_info
class FrameData():
''' info in one frame of morph board
attrs:
force_array: TODO
contacts: list of keystroke contacts on the board
timestamp: time acquired from time.perf_counter for each frame
'''
# MAGNI = 4
# layout = utils.Layout()
def __init__(self, force_array, timestamp):
self.force_array = force_array
self.timestamp = timestamp
self.contacts = []
def append_contact(self, contact):
self.contacts.append(contact)
def to_numpy(self):
''' convert frame data to numpy array
return:
return a numpy array of force_array
'''
return self.force_array
# def output(self) -> np.array:
# ''' add contacts to force_map and show image
# return:
# return force_map image with marked contacts
# '''
# MAGNI = FrameData.MAGNI
# layout = FrameData.layout
# H, W = self.force_array.shape
# force_map = cv2.resize(self.force_array, (W * MAGNI, H * MAGNI)).astype(float)
# force_map = cv2.cvtColor(force_map, cv2.COLOR_GRAY2BGR)
# color = (150, 150, 150)
# for key, rec in layout.key_pos.items():
# pt1, pt2 = rec
# cv2.rectangle(force_map, (int(pt1[0] * W * MAGNI), int(pt1[1] * H * MAGNI)),
# (int(pt2[0] * W * MAGNI), int(pt2[1] * H * MAGNI)), color, 1)
# # use len(key) // 2 to modify key offset
# cv2.putText(force_map, key, org=(int((pt1[0] + 0.03 - (len(key) // 2) * 0.01) * W * MAGNI),
# int((pt1[1] + 0.05) * H * MAGNI)), fontFace=cv2.FONT_HERSHEY_SIMPLEX,
# fontScale=0.15*MAGNI, color=color, thickness=1)
# for contact in self.contacts:
# color = (0, 0, 0)
# if contact.label == -1: # Unsure
# color = (255, 0, 0)
# if contact.label == 1: # Positive sample
# color = (0, 255, 0)
# if contact.label == 0: # Negative sample
# color = (0, 0, 255)
# cv2.circle(force_map, (int((contact.x * W + 0.5) * MAGNI), int((contact.y * H + 0.5) * MAGNI)), 8, color, -1)
# return force_map |