def read_crossings(path, activity):
crosses = crossings(activity)
labelh5path = labelpath(path)
if os.path.exists(labelh5path):
crosses.label = pd.read_hdf(labelh5path, 'label')
return crosses
def sessionsummary(path):
labelh5path = labelpath(path)
activity = activitytables.read_activity(path)
crossings = activitytables.read_crossings(path, activity)
rewards = activitytables.read_rewards(path)
#steptimes = activitytables.steptimes(activity)
vidpath = os.path.join(path, 'front_video.avi')
vid = video.video(vidpath)
selected = []
def onselect(ind):
selector.ind[:] = ind
selector.updateselection()
clearhandles(selected)
if len(ind) <= 0:
return
for s in crossings.slices[ind]:
h = axs[0, 1].plot(activity.xhead[s], activity.yhead[s], 'r')
selected.append(h)
markers = []
def updateplots():
onselect([])
clearcollection(markers)
valid = crossings.label == 'valid'
axs[0, 1].clear()
trajectoryplot(activity, crossings[valid], axs[0, 1], alpha=0.2)
axs[1, 2].clear()
slowdownsummary(crossings[valid], axs[1, 2])
axs[1, 1].clear()
invalid = crossings.label == 'invalid'
if invalid.any():
rows = crossings[invalid]
pts = axs[0, 2].scatter(rows.duration,
rows.yhead_max,
s=20,
marker='x',
facecolors='none',
edgecolors='r')
markers.append(pts)
fig.canvas.draw_idle()
def onkeypress(evt):
label = None
if evt.key == 'q':
crossings.label.to_hdf(labelh5path, 'label')
if evt.key == 'x':
label = 'invalid'
if evt.key == 'c':
label = 'valid'
if evt.key == 'z' and len(selector.ind) == 1:
frameslice = crossings.iloc[selector.ind[0], :].slices
video.showmovie(vid,
frameslice.start,
fps=frames_per_second,
frameend=frameslice.stop)
if label != None:
crossings.label[selector.ind] = label
updateplots()
fig, axs = plt.subplots(3, 3)
fpshist(activity, axs[0, 0])
selector = featuresummary(crossings, axs[0, 2], onselect)
updateplots()
rewardrate(rewards, axs[1, 0])
fig.canvas.mpl_connect('key_press_event', onkeypress)
plt.tight_layout()
return activity, crossings, rewards, selector
def sessionsummary(path):
labelh5path = labelpath(path)
activity = activitytables.read_activity(path)
crossings = activitytables.read_crossings(path, activity)
rewards = activitytables.read_rewards(path)
# steptimes = activitytables.steptimes(activity)
vidpath = os.path.join(path, "front_video.avi")
vid = video.video(vidpath)
selected = []
def onselect(ind):
selector.ind[:] = ind
selector.updateselection()
clearhandles(selected)
if len(ind) <= 0:
return
for s in crossings.slices[ind]:
h = axs[0, 1].plot(activity.xhead[s], activity.yhead[s], "r")
selected.append(h)
markers = []
def updateplots():
onselect([])
clearcollection(markers)
valid = crossings.label == "valid"
axs[0, 1].clear()
trajectoryplot(activity, crossings[valid], axs[0, 1], alpha=0.2)
axs[1, 2].clear()
slowdownsummary(crossings[valid], axs[1, 2])
axs[1, 1].clear()
invalid = crossings.label == "invalid"
if invalid.any():
rows = crossings[invalid]
pts = axs[0, 2].scatter(rows.duration, rows.yhead_max, s=20, marker="x", facecolors="none", edgecolors="r")
markers.append(pts)
fig.canvas.draw_idle()
def onkeypress(evt):
label = None
if evt.key == "q":
crossings.label.to_hdf(labelh5path, "label")
if evt.key == "x":
label = "invalid"
if evt.key == "c":
label = "valid"
if evt.key == "z" and len(selector.ind) == 1:
frameslice = crossings.iloc[selector.ind[0], :].slices
video.showmovie(vid, frameslice.start, fps=frames_per_second, frameend=frameslice.stop)
if label != None:
crossings.label[selector.ind] = label
updateplots()
fig, axs = plt.subplots(3, 3)
fpshist(activity, axs[0, 0])
selector = featuresummary(crossings, axs[0, 2], onselect)
updateplots()
rewardrate(rewards, axs[1, 0])
fig.canvas.mpl_connect("key_press_event", onkeypress)
plt.tight_layout()
return activity, crossings, rewards, selector
def read_crossings(path, activity):
crosses = crossings(activity)
labelh5path = labelpath(path)
if os.path.exists(labelh5path):
crosses.label = pd.read_hdf(labelh5path, 'label')
return crosses