#758

Committed 04 Sep 2023 08:37PM UTC coverage: 0.0% (-78.3%) from 78.333%

Build # #758

Build Type

push

circle-ci

Committed by

hershd23

Commit Message

Increased underline length in at line 75 in text_summarization.rst
	modified:   docs/source/benchmarks/text_summarization.rst

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/evadb/udfs/ndarray/crop.py

# coding=utf-8
# Copyright 2018-2023 EvaDB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
import pandas as pd

from evadb.udfs.abstract.abstract_udf import AbstractUDF


class Crop(AbstractUDF):
    def setup(self):
        pass

    @property
    def name(self):
        return "Crop"

    def forward(self, df: pd.DataFrame) -> pd.DataFrame:
        """
        Crop the frame given the bbox - Crop(frame, bbox)
        If one of the side of the crop box is 0, it automatically sets it to 1 pixel

        Returns:
            ret (pd.DataFrame): The cropped frame.
        """

        def crop(row: pd.Series) -> np.ndarray:
            row = row.to_list()
            frame = row[0]
            bboxes = row[1]

            x0, y0, x1, y1 = np.asarray(bboxes, dtype="int")
            # make sure the bbox is valid
            x0 = max(0, x0)
            y0 = max(0, y0)

            if x1 == x0:
                x1 = x0 + 1

            if y1 == y0:
                y1 = y0 + 1

            return frame[y0:y1, x0:x1]

        ret = pd.DataFrame()
        ret["cropped_frame_array"] = df.apply(crop, axis=1)
        return ret

1	# coding=utf-8
2	# Copyright 2018-2023 EvaDB
3	#
4	# Licensed under the Apache License, Version 2.0 (the "License");
5	# you may not use this file except in compliance with the License.
6	# You may obtain a copy of the License at
7	#
8	# http://www.apache.org/licenses/LICENSE-2.0
9	#
10	# Unless required by applicable law or agreed to in writing, software
11	# distributed under the License is distributed on an "AS IS" BASIS,
12	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13	# See the License for the specific language governing permissions and
14	# limitations under the License.
15	import numpy as np	×
16	import pandas as pd	×
17
18	from evadb.udfs.abstract.abstract_udf import AbstractUDF	×
19
20
21	class Crop(AbstractUDF):	×
22	def setup(self):	×
23	pass	×
24
25	@property	×
26	def name(self):	×
27	return "Crop"	×
28
29	def forward(self, df: pd.DataFrame) -> pd.DataFrame:	×
30	"""
31	Crop the frame given the bbox - Crop(frame, bbox)
32	If one of the side of the crop box is 0, it automatically sets it to 1 pixel
33
34	Returns:
35	ret (pd.DataFrame): The cropped frame.
36	"""
37
38	def crop(row: pd.Series) -> np.ndarray:	×
39	row = row.to_list()	×
40	frame = row[0]	×
41	bboxes = row[1]	×
42
43	x0, y0, x1, y1 = np.asarray(bboxes, dtype="int")	×
44	# make sure the bbox is valid
45	x0 = max(0, x0)	×
46	y0 = max(0, y0)	×
47
48	if x1 == x0:	×
49	x1 = x0 + 1	×
50
51	if y1 == y0:	×
52	y1 = y0 + 1	×
53
54	return frame[y0:y1, x0:x1]	×
55
56	ret = pd.DataFrame()	×
57	ret["cropped_frame_array"] = df.apply(crop, axis=1)	×
58	return ret	×

georgia-tech-db / eva / #758

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