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braid_visualization_gui.py
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braid_visualization_gui.py
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from __init__ import *
class Braid(QWidget):
def __init__(self):
super(Braid, self).__init__()
self.setGeometry(10,50, 1980, 1080)
self.setWindowTitle('UI')
self.initUI()
def initUI(self):
self.mainLayout = QGridLayout()
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.ax = self.figure.add_subplot(111)
# from set pose estimation connections
self.connection = [
[0, 1], [1, 2], [2, 3], [0, 4], [4, 5], [5, 6], [0, 7], [7, 8],
[8, 9], [9, 10], [8, 11], [11, 12], [12, 13], [8, 14], [14, 15],
[15, 16]]
self.lines = {}
self.crossings = []
self.save_keypoints = defaultdict(list)
self.save_flatten_keypoints = defaultdict(list)
self.k = 0
self.kf = 0
# ----------left layout----------
self.leftDisplay = QWidget()
self.windowLeft = gl.GLViewWidget()
self.windowLeft.setCameraPosition(distance=47, elevation=12)
g_x = gl.GLGridItem()
g_y = gl.GLGridItem()
g_z = gl.GLGridItem()
g_x.rotate(90,0,1,0)
g_y.rotate(90,1,0,0)
g_x.translate(-10,0,0)
g_y.translate(0,-10,0)
g_z.translate(0,0,-10)
self.windowLeft.addItem(g_x)
self.windowLeft.addItem(g_y)
self.windowLeft.addItem(g_z)
self.layoutLeft = QVBoxLayout(self)
self.layoutLeft.addWidget(self.windowLeft)
self.leftDisplay.setLayout(self.layoutLeft)
self.leftItems = QWidget(self)
self.layoutLeftItems = QGridLayout(self)
# widgets
self.btnUpload = QPushButton("Upload Image",self)
self.btnUpload.clicked.connect(self.uploadFile)
self.btnUpload.setDisabled(False)
self.btnClearCrossings = QPushButton("Clear crossings",self)
self.btnClearCrossings.clicked.connect(self.clearCrossings)
self.btnClearCrossings.setDisabled(True)
# keypoints list
self.lblKeypoints = QLabel(self)
self.lblKeypoints.setFont(QFont('Bold',15))
self.lblKeypoints.setText("Keypoints")
self.listKeypoints = QListWidget(self)
self.listKeypoints.setEditTriggers(QtGui.QAbstractItemView.NoEditTriggers)
# add widgets
self.layoutLeftItems.addWidget(self.btnUpload,1,0)
self.layoutLeftItems.addWidget(self.btnClearCrossings,1,1)
self.layoutLeftItems.addWidget(self.lblKeypoints,2,0)
self.layoutLeftItems.addWidget(self.listKeypoints,3,0)
self.layoutLeftItems.setRowStretch(4,1)
self.leftItems.setLayout(self.layoutLeftItems)
# ----------right layout----------
self.rightLayout = QVBoxLayout(self)
self.rightDisplay = QWidget(self)
# flatten keypoints list
self.lblFlattenKeypoints = QLabel(self)
self.lblFlattenKeypoints.setFont(QFont('Bold',15))
self.lblFlattenKeypoints.setText("Flattened Keypoints")
self.listFlattenKeypoints = QListWidget(self)
self.listFlattenKeypoints.setEditTriggers(QtGui.QAbstractItemView.NoEditTriggers)
self.rightItems = QWidget(self)
self.layoutRightItems = QGridLayout(self)
self.layoutRightItems.addWidget(self.lblFlattenKeypoints,2,0)
self.layoutRightItems.addWidget(self.listFlattenKeypoints,3,0)
self.rightItems.setLayout(self.layoutRightItems)
self.rightLayout.addWidget(self.canvas)
self.rightLayout.addWidget(self.rightItems)
self.rightDisplay.setLayout(self.rightLayout)
self.layoutRightItems.setRowStretch(4,1)
model = 'mobilenet_thin'
self.w, self.h = model_wh('432x368')
self.e = TfPoseEstimator(get_graph_path(model), target_size=(self.w,self.h))
self.poseLifting = Prob3dPose('./lifting/models/prob_model_params.mat')
self.mainLayout.addWidget(self.leftDisplay,0,0)
self.mainLayout.addWidget(self.leftItems,1,0)
self.mainLayout.addWidget(self.rightDisplay,0,1)
self.mainLayout.addWidget(self.rightItems,1,1)
self.setLayout(self.mainLayout)
def uploadFile(self):
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
fileName, _ = QFileDialog.getOpenFileName(self,"Upload Image", "","PNG (*.PNG);; JPEG (*.JPEG) (*.JPG)", options=options)
if Path(fileName).suffix == ".PNG".casefold() or (Path(fileName).suffix == ".JPEG".casefold() or Path(fileName).suffix == ".JPG".casefold()):
img = common.read_imgfile(fileName)
self.plotPose(img)
self.btnUpload.setDisabled(True)
def plotPose(self, filename):
kp = self.mesh(filename)
self.points = gl.GLScatterPlotItem(
pos = kp,
color = pg.glColor((0,255,0)),
size = 15
)
self.windowLeft.addItem(self.points)
for n, pts in enumerate(self.connection):
self.lines[n] = gl.GLLinePlotItem(
pos = np.array([kp[p] for p in pts]),
color = pg.glColor((0,0,255)),
width = 3,
antialias=True
)
self.windowLeft.addItem(self.lines[n])
self.saveKeypoints(kp)
int_key = np.array(kp,dtype=np.int)
flatten_keypoints = np.concatenate(int_key).ravel().tolist()
print(flatten_keypoints)
self.saveFlattenedKeypoints(flatten_keypoints)
self.crossings = self.valid_crossings(flatten_keypoints)
self.n = self.valid_number_of_strands(None)
self.strand_positions = self.compute_strand_paths()
self.draw()
self.btnClearCrossings.setDisabled(False)
def saveKeypoints(self, kp):
print("saving keypoints...")
self.save_keypoints.update({self.k:kp})
# update to list
for key, values in self.save_keypoints.items():
self.listKeypoints.clear()
print(key, values)
self.listKeypoints.addItem(str(values))
self.k += 1
def saveFlattenedKeypoints(self, kp):
print("saving flattened keypoints...")
self.save_flatten_keypoints.update({self.k:kp})
for key, values in self.save_flatten_keypoints.items():
self.listFlattenKeypoints.clear()
print(key, values)
self.listFlattenKeypoints.addItem(str(values))
self.kf += 1
def mesh(self, image):
image_h, image_w = image.shape[:2]
width = 640
height = 480
pose_2d_mpiis = []
visibilities = []
humans = self.e.inference(image, resize_to_default=False, upsample_size=4.0)
img = TfPoseEstimator.draw_humans(image, humans, imgcopy=False)
for human in humans:
pose_2d_mpii, visibility = common.MPIIPart.from_coco(human)
pose_2d_mpiis.append([(int(x * width + 0.5), int(y * height + 0.5)) for x, y in pose_2d_mpii])
visibilities.append(visibility)
pose_2d_mpiis = np.array(pose_2d_mpiis)
print("number of dimensions: ",pose_2d_mpiis.ndim)
visibilities = np.array(visibilities)
transformed_pose2d, weights = self.poseLifting.transform_joints(pose_2d_mpiis, visibilities)
pose_3d = self.poseLifting.compute_3d(transformed_pose2d, weights)
keypoints = pose_3d[0].transpose()
print(keypoints)
# large coords will extend outside frame
# divide to display within frame
return keypoints / 80
def clearCrossings(self):
print("clear crossings and pose")
self.ax.clear()
self.canvas.draw()
self.listKeypoints.clear()
self.listFlattenKeypoints.clear()
pts = self.windowLeft.removeItem(self.points)
lns = self.lines
for i in list(self.lines):
lns = self.windowLeft.removeItem(self.lines[i])
return pts, lns, self.btnClearCrossings.setDisabled(True), self.btnUpload.setDisabled(False)
def valid_number_of_strands(self, n):
largest_sigma = max([abs(i) for i in self.crossings])
if n == None:
n = largest_sigma + 1
elif n < largest_sigma:
raise ValueError('It is impossible to have {} strands with an S-{} crossing!'.format(n, largest_sigma))
return n
def valid_crossings(self, crossings):
if not all(isinstance(i, int) for i in crossings):
raise ValueError('All crossings must be integers!\n{}'.format(crossings))
return crossings
def draw(self, length = 8, line_width = 4.0, save_name='', show=True):
print("drawing...")
plt.figure(figsize=(length, length / 12 * len(self.strand_positions)))
plt.axis('off')
self.colors = [cm.jet(i) for i in np.linspace(0.0, 1.0, len(self.strand_positions))]
for x in range(len(self.crossings)):
#separate between crossings and non-crossings
if self.crossings[x] == 0:
non_crossing_indices = list(range(self.n))
else:
crossing_indices = [abs(self.crossings[x])-1, abs(self.crossings[x])]
non_crossing_indices = list(range(crossing_indices[0])) + list(range(crossing_indices[1]+1, self.n))
over = crossing_indices[0] if np.sign(self.crossings[x]) == -1 else crossing_indices[1]
under = crossing_indices[0] if np.sign(self.crossings[x]) == 1 else crossing_indices[1]
self.over_data = self.segment_drawing_data(x, over , -1 * np.sign(self.crossings[x]))
self.under_data = self.segment_drawing_data(x, under, np.sign(self.crossings[x]))
strand_at_over = self.pos_of_strand_at(over, strand_paths=self.strand_positions, x=x)
strand_at_under = self.pos_of_strand_at(under, strand_paths=self.strand_positions, x=x)
self.ax.plot(*self.over_data, color=self.colors[strand_at_over] , linewidth=line_width)
self.ax.plot(*self.under_data, color=self.colors[strand_at_under] , linewidth=line_width)
self.canvas.draw()
for i in non_crossing_indices:
strand_at_i = self.pos_of_strand_at(i, strand_paths=self.strand_positions, x=x)
self.data = self.segment_drawing_data(x, i, 0)
self.ax.plot(*self.data, color=self.colors[strand_at_i], linewidth=line_width)
self.canvas.draw()
print("done")
#given an x (crossing) and y (height on plot), find the index of the strand in this position
def pos_of_strand_at(self, y, strand_paths, x=-1): #x defaults to most recent strand position
if not y in range(self.n):
raise ValueError('It is impossible to have a strand at position {}, when there are only {} positions.'.format(y,self.n))
#now we don't need to check if there is a strand at the desired position, because there are n strands in n different positions
#this means all positions must have a strand
strand_positions_at_x = [i[x] for i in strand_paths]
return strand_positions_at_x.index(y)
def compute_strand_paths(self):
strand_paths = [[i] for i in range(self.n)] #each list contains coordinates of each strand at each time step
for c in self.crossings:
#add coordinates for new timestep
#assume no changes are made and add previous coordinates as the next ones
for s in strand_paths:
s.append(s[-1])
#if there is a crossing, then update the position of the two strands that crossed
if c != 0:
lower_strand = self.pos_of_strand_at(abs(c)-1, strand_paths=strand_paths)
upper_strand = self.pos_of_strand_at(abs(c) , strand_paths=strand_paths)
strand_paths[lower_strand][-1] += 1
strand_paths[upper_strand][-1] -= 1
return strand_paths
#x_start should be an integer corresponding to a crossing
#y_start should be an integer corresponding to the height of a strand at position x
#direction should be -1, 0, or 1, indicating the end height of y_data
def segment_drawing_data(self, x_start, y_start, direction, n = 100):
x_data = np.linspace(x_start, x_start+1, num = n)
cos_range = np.linspace(0, np.pi, num = n)
y_data = list(map(lambda x: direction * (1 - np.cos(x)) / 2 + y_start, cos_range))
return [x_data, y_data]
#this is outside of the class on purpose!
def mult_braids(braids):
if len(braids) == 0:
return None
if any([i.n != braids[0].n for i in braids]):
raise ValueError('Braids have differing numbers of strands! {}'.format([i.n for i in braids]))
return Braid(sum([i.crossings for i in braids], []), n=braids[0].n)
if __name__ == "__main__":
app = QApplication([])
win = Braid()
win.show()
sys.exit(app.exec_())