def think(self, data):
self.gene_index = 0
rbf = self.rbf
if data[0] == 0 and data[4] == 0:
return (0.005, 0)
else:
if data[0] == 1:
left = (rbf(data[1]) + rbf(data[2]) + rbf(data[3]),
rbf(data[1]) + rbf(data[2]) + rbf(data[3]))
else:
self.gene_index += self.G_TOTAL_CONNECTIONS / 2
left = (0, 0)
if data[4] == 1:
right = (rbf(data[5]) + rbf(data[6]) + rbf(data[7]),
rbf(data[5]) + rbf(data[6]) + rbf(data[7]))
else:
right = (0, 0)
return (transfer(left[0] + right[0]), transfer(left[1] + right[1]))
def think(self, data): self.gene_index = 0 rbf = self.rbf if data[0] == 0 and data[4] == 0: return (0.005, 0) else: if data[0] == 1: left = (rbf(data[1]) + rbf(data[2]) + rbf(data[3]), rbf(data[1]) + rbf(data[2]) + rbf(data[3])) else: self.gene_index += self.G_TOTAL_CONNECTIONS / 2 left = (0,0) if data[4] == 1: right = (rbf(data[5]) + rbf(data[6]) + rbf(data[7]), rbf(data[5]) + rbf(data[6]) + rbf(data[7])) else: right = (0,0) return (transfer(left[0] + right[0]), transfer(left[1] + right[1]))
def think(self, data):
self.gene_index = 0
f = self.apply_genes
if data[0] == 0 and data[4] == 0:
return (0.005, 0)
else:
if data[0] != 0:
left = (f(data[1]) + f(data[2]) + f(data[3]), f(data[1]) + f(data[2]) + f(data[3]))
else:
self.gene_index += self.G_TOTAL_CONNECTIONS / 2
left = (0, 0)
if data[4] != 0:
right = (f(data[5]) + f(data[6]) + f(data[7]), f(data[5]) + f(data[6]) + f(data[7]))
else:
right = (0, 0)
# print "# Input: %s" % data
# print "# Output: (%s,%s)" % ((left[0] + right[0]) / 6, (left[1] + right[1]) / 6)
return (transfer(left[0] + right[0]), transfer(left[1] + right[1]))
def think(self, data): self.gene_index = 0 f = self.apply_genes if data[0] == 0 and data[4] == 0: return (0.005,0) else: if data[0] != 0: left = (f(data[1]) + f(data[2]) + f(data[3]), f(data[1]) + f(data[2]) + f(data[3])) else: self.gene_index += self.G_TOTAL_CONNECTIONS / 2 left = (0,0) if data[4] != 0: right = (f(data[5]) + f(data[6]) + f(data[7]), f(data[5]) + f(data[6]) + f(data[7])) else: right = (0,0) #print "# Input: %s" % data #print "# Output: (%s,%s)" % ((left[0] + right[0]) / 6, (left[1] + right[1]) / 6) return (transfer(left[0] + right[0]), transfer(left[1] + right[1]))
# letter = 'F'
# ID = str(num) + letter
# return ID
id_path = r'T:\AnalysisDroneData\groundTruth\CLMB STND 2019 Flight Data\100085_2019_07_18_15_54_58\id_processed'
filelist = [f for f in os.listdir(os.path.join(id_path)) if f.endswith('.mat')]
# get the correct order of files
list_frame_idx_hyper = []
for f in filelist:
hyper_cube_name = re.findall('\d+', f)[0]
list_frame_idx_hyper.append(int(hyper_cube_name))
index_temp = np.argsort(list_frame_idx_hyper)
file_list = [filelist[i] for i in index_temp]
plot_list = [funcs.transfer(i) for i in range(1, 37)]
col = [re.findall('\d+', f)[0] for f in file_list]
row = plot_list
#col = ['class {}'.format(i) for i in range(0,7)]
#row = [re.findall('\d+', f)[0] for f in file_list]
df_summary = pd.DataFrame(columns=col, index=row)
class_names = np.arange(1, 37)
for f in file_list:
count_final = np.zeros(36)
hyper_cube_name = re.findall('\d+', f)[0]
loaded = sio.loadmat(os.path.join(id_path, f), squeeze_me=True)
plotID = loaded['id']
[plot_name, counts] = np.unique(plotID, return_counts=True)