Skip to content

add get state function #92

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 25, 2024
Merged

add get state function #92

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
36 changes: 26 additions & 10 deletions apps/99_streamlit_examples/pages/12_Video_processing.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ class ProcessorType(Enum):
YOLOV8 = "yolov8"


class InputSource(Enum):
class InputSourceType(Enum):
CAMERA = "camera"
FILE = "file"

Expand All @@ -28,6 +28,9 @@ def process(
) -> cv2.UMat:
raise NotImplementedError

def get_states(self) -> dict:
return {}


class BlurProcessor(Processor):
def process(
Expand Down Expand Up @@ -91,6 +94,7 @@ def __init__(
self.model = YOLO(model_name)
self.confidence = confidence
self.classes = classes
self.num_of_persons = 0

def process(
self,
Expand All @@ -101,6 +105,7 @@ def process(
conf=self.confidence,
classes=self.classes,
)
self.num_of_persons = len([x for x in results[0].boxes.cls if x == 0])
output_img = results[0].plot(
labels=True,
conf=True,
Expand All @@ -110,6 +115,11 @@ def process(
code=cv2.COLOR_BGR2RGB,
)

def get_states(self):
return {
"num_of_persons": self.num_of_persons,
}


def get_processor(processor_type: ProcessorType) -> Processor:
if processor_type == ProcessorType.BLUR:
Expand All @@ -127,21 +137,21 @@ def get_processor(processor_type: ProcessorType) -> Processor:
with st.sidebar:
tab_input, tab_mode = st.tabs(
[
"input",
"mode",
"source",
"processor",
]
)
with tab_input:
source = st.radio(
input_source_type = st.radio(
label="input source",
options=[
InputSource.FILE,
InputSource.CAMERA,
InputSourceType.FILE,
InputSourceType.CAMERA,
],
index=0,
format_func=lambda x: x.value,
)
if source == InputSource.FILE:
if input_source_type == InputSourceType.FILE:
file = st.file_uploader(
label="upload video file",
type=[
Expand All @@ -155,7 +165,7 @@ def get_processor(processor_type: ProcessorType) -> Processor:
with open(file_path, "wb") as f:
f.write(file.read())
device = file_path
if source == InputSource.CAMERA:
if input_source_type == InputSourceType.CAMERA:
# device: https://docs.opencv.org/4.10.0/d8/dfe/classcv_1_1VideoCapture.html#a5d5f5dacb77bbebdcbfb341e3d4355c1
device = st.text_input(
label="input your video/camera device",
Expand All @@ -180,6 +190,9 @@ def get_processor(processor_type: ProcessorType) -> Processor:

st.title("Video processing")

st.text(f"source: {input_source_type.value}")
st.text(f"processor: {processor_type.value}")

start_button = st.button("Start")
stop = st.button("Stop")

Expand All @@ -194,13 +207,16 @@ def get_processor(processor_type: ProcessorType) -> Processor:
ret, frame = capture.read()

if not ret:
message_loc.error("Failed to read frame")
continue
st.toast("End of video", icon="❗")
break

processed_frame = processor.process(
frame=frame,
)

states = processor.get_states()
message_loc.info(f"states: {states}")

image_loc.image(
image=processed_frame,
use_column_width=True,
Expand Down