code stringlengths 3 6.57k |
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FramePerSec.tick(FPS) |
generator(data, batch_size, img_cols, img_rows, img_ch) |
list(range(0, data[0].shape[0], batch_size) |
load_batch([l[it:it + batch_size] for l in data], img_cols, img_rows, img_ch) |
test_big(args) |
print("Names to test: {}".format(names_path) |
print("Dataset: {}".format(names_path) |
print("Weights: {}".format(weights_path) |
get_eye_tracker_model(img_cols, img_rows, img_ch) |
model.summary() |
print("Loading weights...") |
load_model(weights_path) |
model.load_weights(weights_path) |
load_data_names(names_path) |
print("Loading testing data...") |
list(range(0, len(test_names) |
load_batch_from_names_random(test_names[it:it + chunk_size], dataset_path, batch_size, img_cols, img_rows, img_ch) |
load_batch_from_names(test_names[it:it + chunk_size], dataset_path, img_ch, img_cols, img_rows) |
model.predict(x=x, batch_size=batch_size, verbose=1) |
enumerate(predictions) |
print("PR: {} {}".format(prediction[0], prediction[1]) |
print("GT: {} {} \n".format(y[i][0], y[i][1]) |
err_x.append(abs(prediction[0] - y[i][0]) |
err_y.append(abs(prediction[1] - y[i][1]) |
np.mean(err_x) |
np.mean(err_y) |
np.std(err_x) |
np.std(err_y) |
print("MAE: {} {} ( samples) |
format(mae_x, mae_y) |
print("STD: {} {} ( samples) |
format(std_x, std_y) |
test_big() |
os.statvfs() |
DiskSpaceCollector(diamond.collector.Collector) |
get_default_config_help(self) |
super(DiskSpaceCollector, self) |
get_default_config_help() |
get_default_config(self) |
super(DiskSpaceCollector, self) |
get_default_config() |
process_config(self) |
super(DiskSpaceCollector, self) |
process_config() |
isinstance(self.exclude_filters, basestring) |
re.compile('!.*') |
re.compile('|'.join(self.exclude_filters) |
isinstance(self.config['filesystems'], basestring) |
split(',') |
self.filesystems.append(filesystem.strip() |
isinstance(self.config['filesystems'], list) |
get_disk_labels(self) |
os.path.isdir(path) |
os.listdir(path) |
label.replace('\\x2f', '/') |
os.path.realpath(path + '/' + label) |
get_file_systems(self) |
iostat(1) |
FileSystem(device, mount_point) |
os.access('/proc/mounts', os.R_OK) |
open('/proc/mounts') |
line.split() |
except (IndexError, ValueError) |
self.exclude_reg.search(mount_point) |
if ((('/' in device or ':' in device or device == 'tmpfs') |
mount_point.startswith('/') |
os.stat(mount_point) |
os.path.realpath(device) |
file.close() |
self.log.error('Unable to import psutil') |
psutil.disk_partitions(False) |
len(result) |
os.path.realpath(partition.device) |
collect(self) |
self.get_disk_labels() |
self.get_file_systems() |
self.log.error('No diskspace metrics retrieved') |
results.itervalues() |
replace('/', '_') |
name.replace('.', '_') |
replace('\\', '') |
hasattr(os, 'statvfs') |
os.statvfs(info['mount_point']) |
self.log.exception(e) |
psutil.disk_usage(info['mount_point']) |
NotImplementedError("platform not supported") |
float(blocks_free) |
self.publish_gauge(metric_name, metric_value, 2) |
float(block_size) |
self.publish_gauge(metric_name, metric_value, 2) |
float(block_size) |
float(blocks_free) |
self.publish_gauge(metric_name, metric_value, 2) |
float(block_size) |
float(blocks_avail) |
self.publish_gauge(metric_name, metric_value, 2) |
float(inodes_total) |
float(inodes_free) |
float(inodes_total) |
self.publish_gauge('%s.inodes_free' % name, inodes_free) |
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