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Fix some flake8 errors in cleanup and nsfw_detect 

Just some minor code cleanup
This commit is contained in:
Nikolas Nyby 2021-08-06 15:18:02 -04:00
parent 47ff3a1152
commit b8def71a94
2 changed files with 30 additions and 14 deletions
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7
cleanup.py
View File

@ -18,7 +18,10 @@
and limitations under the License.
"""
import os, sys, time, datetime
import os
import sys
import time
import datetime
from fhost import app
os.chdir(os.path.dirname(sys.argv[0]))
@ -33,7 +36,7 @@ maxd = 365
for f in files:
stat = os.stat(f)
systime = time.time()
age = datetime.timedelta(seconds = systime - stat.st_mtime).days
age = datetime.timedelta(seconds=(systime - stat.st_mtime)).days
maxage = mind + (-maxd + mind) * (stat.st_size / maxs - 1) ** 3

33
nsfw_detect.py
View File

@ -24,21 +24,30 @@ import sys
from io import BytesIO
from subprocess import run, PIPE, DEVNULL
os.environ["GLOG_minloglevel"] = "2" # seriously :|
import caffe
os.environ["GLOG_minloglevel"] = "2" # seriously :|
class NSFWDetector:
def __init__(self):
npath = os.path.join(os.path.dirname(__file__), "nsfw_model")
self.nsfw_net = caffe.Net(os.path.join(npath, "deploy.prototxt"),
self.nsfw_net = caffe.Net(
os.path.join(npath, "deploy.prototxt"),
os.path.join(npath, "resnet_50_1by2_nsfw.caffemodel"),
caffe.TEST)
self.caffe_transformer = caffe.io.Transformer({'data': self.nsfw_net.blobs['data'].data.shape})
self.caffe_transformer.set_transpose('data', (2, 0, 1)) # move image channels to outermost
self.caffe_transformer.set_mean('data', np.array([104, 117, 123])) # subtract the dataset-mean value in each channel
self.caffe_transformer.set_raw_scale('data', 255) # rescale from [0, 1] to [0, 255]
self.caffe_transformer.set_channel_swap('data', (2, 1, 0)) # swap channels from RGB to BGR
self.caffe_transformer = caffe.io.Transformer({
'data': self.nsfw_net.blobs['data'].data.shape
})
# move image channels to outermost
self.caffe_transformer.set_transpose('data', (2, 0, 1))
# subtract the dataset-mean value in each channel
self.caffe_transformer.set_mean('data', np.array([104, 117, 123]))
# rescale from [0, 1] to [0, 255]
self.caffe_transformer.set_raw_scale('data', 255)
# swap channels from RGB to BGR
self.caffe_transformer.set_channel_swap('data', (2, 1, 0))
def _compute(self, img):
image = caffe.io.load_image(BytesIO(img))
@ -54,8 +63,8 @@ class NSFWDetector:
input_name = self.nsfw_net.inputs[0]
output_layers = ["prob"]
all_outputs = self.nsfw_net.forward_all(blobs=output_layers,
**{input_name: transformed_image})
all_outputs = self.nsfw_net.forward_all(
blobs=output_layers, **{input_name: transformed_image})
outputs = all_outputs[output_layers[0]][0].astype(float)
@ -63,7 +72,10 @@ class NSFWDetector:
def detect(self, fpath):
try:
ff = run(["ffmpegthumbnailer", "-m", "-o-", "-s256", "-t50%", "-a", "-cpng", "-i", fpath], stdout=PIPE, stderr=DEVNULL, check=True)
ff = run([
"ffmpegthumbnailer", "-m", "-o-", "-s256", "-t50%", "-a",
"-cpng", "-i", fpath
], stdout=PIPE, stderr=DEVNULL, check=True)
image_data = ff.stdout
except:
return -1.0
@ -72,6 +84,7 @@ class NSFWDetector:
return scores[1]
if __name__ == "__main__":
n = NSFWDetector()