openpose を試す
openpose を試しましょう。
インストール
openpose/installation.md at master · CMU-Perceptual-Computing-Lab/openpose · GitHub
依存
いろいろありますが、構築が面倒な CUDA 8 と cuDNN 5.1 が、私の環境では、ちょうど
$ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2016 NVIDIA Corporation Built on Tue_Jan_10_13:22:03_CST_2017 Cuda compilation tools, release 8.0, V8.0.61 $ ls /usr/local/cuda/lib64/libcudnn.so.* /usr/local/cuda/lib64/libcudnn.so.5 /usr/local/cuda/lib64/libcudnn.so.5.1.10
ということで、満たしておりました。
その他も、 apt-get からインストールできました。
コマンドラインからコンパイル
openpose/installation.md at master · CMU-Perceptual-Computing-Lab/openpose · GitHub
テスト
まずは、サンプルを使いましょう。
処理が軽そうな画像を。
~/openpose$ ./build/examples/openpose/openpose.bin --image_dir examples/media/ Starting pose estimation demo. Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0. Starting thread(s) Real-time pose estimation demo successfully finished. Total time: 9.159081 seconds. HDF5: infinite loop closing library D,T,F,FD,P,FD,P,FD,P,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E,E
加工後の画像が表示されて、消えていきます。
オプションの確認
$ ./openpose/build/examples/openpose/openpose.bin --help
openpose.bin: Warning: SetUsageMessage() never called
Flags from /home/kiyo/openpose/examples/openpose/openpose.cpp:
-3d (Running OpenPose 3-D reconstruction demo: 1) Reading from a stereo
camera system. 2) Performing 3-D reconstruction from the multiple views.
3) Displaying 3-D reconstruction results. Note that it will only display
1 person. If multiple people is present, it will fail.) type: bool
default: false
-3d_min_views (Minimum number of views required to reconstruct each
keypoint. By default (-1), it will require all the cameras to see the
keypoint in order to reconstruct it.) type: int32 default: -1
-3d_views (Complementary option to `--image_dir` or `--video`. OpenPose
will read as many images per iteration, allowing tasks such as stereo
camera processing (`--3d`). Note that `--camera_parameters_folder` must
be set. OpenPose must find as many `xml` files in the parameter folder as
this number indicates.) type: int32 default: 1
-alpha_heatmap (Blending factor (range 0-1) between heatmap and original
frame. 1 will only show the heatmap, 0 will only show the frame. Only
valid for GPU rendering.) type: double default: 0.69999999999999996
-alpha_pose (Blending factor (range 0-1) for the body part rendering. 1
will show it completely, 0 will hide it. Only valid for GPU rendering.)
type: double default: 0.59999999999999998
-body_disable (Disable body keypoint detection. Option only possible for
faster (but less accurate) face keypoint detection.) type: bool
default: false
-camera (The camera index for cv::VideoCapture. Integer in the range [0,
9]. Select a negative number (by default), to auto-detect and open the
first available camera.) type: int32 default: -1
-camera_fps (Frame rate for the webcam (also used when saving video). Set
this value to the minimum value between the OpenPose displayed speed and
the webcam real frame rate.) type: double default: 30
-camera_parameter_folder (String with the folder where the camera
parameters are located.) type: string
default: "models/cameraParameters/flir/"
-camera_resolution (Set the camera resolution (either `--camera` or
`--flir_camera`). `-1x-1` will use the default 1280x720 for `--camera`,
or the maximum flir camera resolution available for `--flir_camera`)
type: string default: "-1x-1"
-disable_blending (If enabled, it will render the results (keypoint
skeletons or heatmaps) on a black background, instead of being rendered
into the original image. Related: `part_to_show`, `alpha_pose`, and
`alpha_pose`.) type: bool default: false
-disable_multi_thread (It would slightly reduce the frame rate in order to
highly reduce the lag. Mainly useful for 1) Cases where it is needed a
low latency (e.g. webcam in real-time scenarios with low-range GPU
devices); and 2) Debugging OpenPose when it is crashing to locate the
error.) type: bool default: false
-display (Display mode: -1 for automatic selection; 0 for no display
(useful if there is no X server and/or to slightly speed up the
processing if visual output is not required); 2 for 2-D display; 3 for
3-D display (if `--3d` enabled); and 1 for both 2-D and 3-D display.)
type: int32 default: -1
-face (Enables face keypoint detection. It will share some parameters from
the body pose, e.g. `model_folder`. Note that this will considerable slow
down the performance and increse the required GPU memory. In addition,
the greater number of people on the image, the slower OpenPose will be.)
type: bool default: false
-face_alpha_heatmap (Analogous to `alpha_heatmap` but applied to face.)
type: double default: 0.69999999999999996
-face_alpha_pose (Analogous to `alpha_pose` but applied to face.)
type: double default: 0.59999999999999998
-face_net_resolution (Multiples of 16 and squared. Analogous to
`net_resolution` but applied to the face keypoint detector. 320x320
usually works fine while giving a substantial speed up when multiple
faces on the image.) type: string default: "368x368"
-face_render (Analogous to `render_pose` but applied to the face. Extra
option: -1 to use the same configuration that `render_pose` is using.)
type: int32 default: -1
-face_render_threshold (Analogous to `render_threshold`, but applied to the
face keypoints.) type: double default: 0.40000000000000002
-flir_camera (Whether to use FLIR (Point-Grey) stereo camera.) type: bool
default: false
-frame_first (Start on desired frame number. Indexes are 0-based, i.e. the
first frame has index 0.) type: uint64 default: 0
-frame_flip (Flip/mirror each frame (e.g. for real time webcam
demonstrations).) type: bool default: false
-frame_last (Finish on desired frame number. Select -1 to disable. Indexes
are 0-based, e.g. if set to 10, it will process 11 frames (0-10).)
type: uint64 default: 18446744073709551615
-frame_rotate (Rotate each frame, 4 possible values: 0, 90, 180, 270.)
type: int32 default: 0
-frames_repeat (Repeat frames when finished.) type: bool default: false
-fullscreen (Run in full-screen mode (press f during runtime to toggle).)
type: bool default: false
-hand (Enables hand keypoint detection. It will share some parameters from
the body pose, e.g. `model_folder`. Analogously to `--face`, it will also
slow down the performance, increase the required GPU memory and its speed
depends on the number of people.) type: bool default: false
-hand_alpha_heatmap (Analogous to `alpha_heatmap` but applied to hand.)
type: double default: 0.69999999999999996
-hand_alpha_pose (Analogous to `alpha_pose` but applied to hand.)
type: double default: 0.59999999999999998
-hand_net_resolution (Multiples of 16 and squared. Analogous to
`net_resolution` but applied to the hand keypoint detector.) type: string
default: "368x368"
-hand_render (Analogous to `render_pose` but applied to the hand. Extra
option: -1 to use the same configuration that `render_pose` is using.)
type: int32 default: -1
-hand_render_threshold (Analogous to `render_threshold`, but applied to the
hand keypoints.) type: double default: 0.20000000000000001
-hand_scale_number (Analogous to `scale_number` but applied to the hand
keypoint detector. Our best results were found with `hand_scale_number` =
6 and `hand_scale_range` = 0.4.) type: int32 default: 1
-hand_scale_range (Analogous purpose than `scale_gap` but applied to the
hand keypoint detector. Total range between smallest and biggest scale.
The scales will be centered in ratio 1. E.g. if scaleRange = 0.4 and
scalesNumber = 2, then there will be 2 scales, 0.8 and 1.2.) type: double
default: 0.40000000000000002
-hand_tracking (Adding hand tracking might improve hand keypoints detection
for webcam (if the frame rate is high enough, i.e. >7 FPS per GPU) and
video. This is not person ID tracking, it simply looks for hands in
positions at which hands were located in previous frames, but it does not
guarantee the same person ID among frames.) type: bool default: false
-heatmaps_add_PAFs (Same functionality as `add_heatmaps_parts`, but adding
the PAFs.) type: bool default: false
-heatmaps_add_bkg (Same functionality as `add_heatmaps_parts`, but adding
the heatmap corresponding to background.) type: bool default: false
-heatmaps_add_parts (If true, it will fill op::Datum::poseHeatMaps array
with the body part heatmaps, and analogously face & hand heatmaps to
op::Datum::faceHeatMaps & op::Datum::handHeatMaps. If more than one
`add_heatmaps_X` flag is enabled, it will place then in sequential memory
order: body parts + bkg + PAFs. It will follow the order on
POSE_BODY_PART_MAPPING in `src/openpose/pose/poseParameters.cpp`. Program
speed will considerably decrease. Not required for OpenPose, enable it
only if you intend to explicitly use this information later.) type: bool
default: false
-heatmaps_scale (Set 0 to scale op::Datum::poseHeatMaps in the range
[-1,1], 1 for [0,1]; 2 for integer rounded [0,255]; and 3 for no
scaling.) type: int32 default: 2
-identification (Whether to enable people identification across frames. Not
available yet, coming soon.) type: bool default: false
-image_dir (Process a directory of images. Use `examples/media/` for our
default example folder with 20 images. Read all standard formats (jpg,
png, bmp, etc.).) type: string default: ""
-ip_camera (String with the IP camera URL. It supports protocols like RTSP
and HTTP.) type: string default: ""
-keypoint_scale (Scaling of the (x,y) coordinates of the final pose data
array, i.e. the scale of the (x,y) coordinates that will be saved with
the `write_keypoint` & `write_keypoint_json` flags. Select `0` to scale
it to the original source resolution, `1`to scale it to the net output
size (set with `net_resolution`), `2` to scale it to the final output
size (set with `resolution`), `3` to scale it in the range [0,1], and 4
for range [-1,1]. Non related with `scale_number` and `scale_gap`.)
type: int32 default: 0
-logging_level (The logging level. Integer in the range [0, 255]. 0 will
output any log() message, while 255 will not output any. Current OpenPose
library messages are in the range 0-4: 1 for low priority messages and 4
for important ones.) type: int32 default: 3
-model_folder (Folder path (absolute or relative) where the models (pose,
face, ...) are located.) type: string default: "models/"
-model_pose (Model to be used. E.g. `COCO` (18 keypoints), `MPI` (15
keypoints, ~10% faster), `MPI_4_layers` (15 keypoints, even faster but
less accurate).) type: string default: "COCO"
-net_resolution (Multiples of 16. If it is increased, the accuracy
potentially increases. If it is decreased, the speed increases. For
maximum speed-accuracy balance, it should keep the closest aspect ratio
possible to the images or videos to be processed. Using `-1` in any of
the dimensions, OP will choose the optimal aspect ratio depending on the
user's input value. E.g. the default `-1x368` is equivalent to `656x368`
in 16:9 resolutions, e.g. full HD (1980x1080) and HD (1280x720)
resolutions.) type: string default: "-1x368"
-no_gui_verbose (Do not write text on output images on GUI (e.g. number of
current frame and people). It does not affect the pose rendering.)
type: bool default: false
-num_gpu (The number of GPU devices to use. If negative, it will use all
the available GPUs in your machine.) type: int32 default: -1
-num_gpu_start (GPU device start number.) type: int32 default: 0
-number_people_max (This parameter will limit the maximum number of people
detected, by keeping the people with top scores. The score is based in
person area over the image, body part score, as well as joint score
(between each pair of connected body parts). Useful if you know the exact
number of people in the scene, so it can remove false positives (if all
the people have been detected. However, it might also include false
negatives by removing very small or highly occluded people. -1 will keep
them all.) type: int32 default: -1
-output_resolution (The image resolution (display and output). Use "-1x-1"
to force the program to use the input image resolution.) type: string
default: "-1x-1"
-part_candidates (Also enable `write_json` in order to save this
information. If true, it will fill the op::Datum::poseCandidates array
with the body part candidates. Candidates refer to all the detected body
parts, before being assembled into people. Note that the number of
candidates is equal or higher than the number of final body parts (i.e.
after being assembled into people). The empty body parts are filled with
0s. Program speed will slightly decrease. Not required for OpenPose,
enable it only if you intend to explicitly use this information.)
type: bool default: false
-part_to_show (Prediction channel to visualize (default: 0). 0 for all the
body parts, 1-18 for each body part heat map, 19 for the background heat
map, 20 for all the body part heat maps together, 21 for all the PAFs,
22-40 for each body part pair PAF.) type: int32 default: 0
-process_real_time (Enable to keep the original source frame rate (e.g. for
video). If the processing time is too long, it will skip frames. If it is
too fast, it will slow it down.) type: bool default: false
-profile_speed (If PROFILER_ENABLED was set in CMake or Makefile.config
files, OpenPose will show some runtime statistics at this frame number.)
type: int32 default: 1000
-render_pose (Set to 0 for no rendering, 1 for CPU rendering (slightly
faster), and 2 for GPU rendering (slower but greater functionality, e.g.
`alpha_X` flags). If -1, it will pick CPU if CPU_ONLY is enabled, or GPU
if CUDA is enabled. If rendering is enabled, it will render both
`outputData` and `cvOutputData` with the original image and desired body
part to be shown (i.e. keypoints, heat maps or PAFs).) type: int32
default: -1
-render_threshold (Only estimated keypoints whose score confidences are
higher than this threshold will be rendered. Generally, a high threshold
(> 0.5) will only render very clear body parts; while small thresholds
(~0.1) will also output guessed and occluded keypoints, but also more
false positives (i.e. wrong detections).) type: double
default: 0.050000000000000003
-scale_gap (Scale gap between scales. No effect unless scale_number > 1.
Initial scale is always 1. If you want to change the initial scale, you
actually want to multiply the `net_resolution` by your desired initial
scale.) type: double default: 0.29999999999999999
-scale_number (Number of scales to average.) type: int32 default: 1
-video (Use a video file instead of the camera. Use
`examples/media/video.avi` for our default example video.) type: string
default: ""
-write_coco_json (Full file path to write people pose data with JSON COCO
validation format.) type: string default: ""
-write_heatmaps (Directory to write body pose heatmaps in PNG format. At
least 1 `add_heatmaps_X` flag must be enabled.) type: string default: ""
-write_heatmaps_format (File extension and format for `write_heatmaps`,
analogous to `write_images_format`. For lossless compression, recommended
`png` for integer `heatmaps_scale` and `float` for floating values.)
type: string default: "png"
-write_images (Directory to write rendered frames in `write_images_format`
image format.) type: string default: ""
-write_images_format (File extension and format for `write_images`, e.g.
png, jpg or bmp. Check the OpenCV function cv::imwrite for all compatible
extensions.) type: string default: "png"
-write_json (Directory to write OpenPose output in JSON format. It includes
body, hand, and face pose keypoints (2-D and 3-D), as well as pose
candidates (if `--part_candidates` enabled).) type: string default: ""
-write_keypoint ((Deprecated, use `write_json`) Directory to write the
people pose keypoint data. Set format with `write_keypoint_format`.)
type: string default: ""
-write_keypoint_format ((Deprecated, use `write_json`) File extension and
format for `write_keypoint`: json, xml, yaml & yml. Json not available
for OpenCV < 3.0, use `write_keypoint_json` instead.) type: string
default: "yml"
-write_keypoint_json ((Deprecated, use `write_json`) Directory to write
people pose data in JSON format, compatible with any OpenCV version.)
type: string default: ""
-write_video (Full file path to write rendered frames in motion JPEG video
format. It might fail if the final path does not finish in `.avi`. It
internally uses cv::VideoWriter.) type: string default: ""
Flags from src/gflags.cc:
-flagfile (load flags from file) type: string default: ""
-fromenv (set flags from the environment [use 'export FLAGS_flag1=value'])
type: string default: ""
-tryfromenv (set flags from the environment if present) type: string
default: ""
-undefok (comma-separated list of flag names that it is okay to specify on
the command line even if the program does not define a flag with that
name. IMPORTANT: flags in this list that have arguments MUST use the
flag=value format) type: string default: ""
Flags from src/gflags_completions.cc:
-tab_completion_columns (Number of columns to use in output for tab
completion) type: int32 default: 80
-tab_completion_word (If non-empty, HandleCommandLineCompletions() will
hijack the process and attempt to do bash-style command line flag
completion on this value.) type: string default: ""
Flags from src/gflags_reporting.cc:
-help (show help on all flags [tip: all flags can have two dashes])
type: bool default: false currently: true
-helpfull (show help on all flags -- same as -help) type: bool
default: false
-helpmatch (show help on modules whose name contains the specified substr)
type: string default: ""
-helpon (show help on the modules named by this flag value) type: string
default: ""
-helppackage (show help on all modules in the main package) type: bool
default: false
-helpshort (show help on only the main module for this program) type: bool
default: false
-helpxml (produce an xml version of help) type: bool default: false
-version (show version and build info and exit) type: bool default: false
Flags from src/logging.cc:
-alsologtoemail (log messages go to these email addresses in addition to
logfiles) type: string default: ""
-alsologtostderr (log messages go to stderr in addition to logfiles)
type: bool default: false
-colorlogtostderr (color messages logged to stderr (if supported by
terminal)) type: bool default: false
-drop_log_memory (Drop in-memory buffers of log contents. Logs can grow
very quickly and they are rarely read before they need to be evicted from
memory. Instead, drop them from memory as soon as they are flushed to
disk.) type: bool default: true
-log_backtrace_at (Emit a backtrace when logging at file:linenum.)
type: string default: ""
-log_dir (If specified, logfiles are written into this directory instead of
the default logging directory.) type: string default: ""
-log_link (Put additional links to the log files in this directory)
type: string default: ""
-log_prefix (Prepend the log prefix to the start of each log line)
type: bool default: true
-logbuflevel (Buffer log messages logged at this level or lower (-1 means
don't buffer; 0 means buffer INFO only; ...)) type: int32 default: 0
-logbufsecs (Buffer log messages for at most this many seconds) type: int32
default: 30
-logemaillevel (Email log messages logged at this level or higher (0 means
email all; 3 means email FATAL only; ...)) type: int32 default: 999
-logmailer (Mailer used to send logging email) type: string
default: "/bin/mail"
-logtostderr (log messages go to stderr instead of logfiles) type: bool
default: false
-max_log_size (approx. maximum log file size (in MB). A value of 0 will be
silently overridden to 1.) type: int32 default: 1800
-minloglevel (Messages logged at a lower level than this don't actually get
logged anywhere) type: int32 default: 0
-stderrthreshold (log messages at or above this level are copied to stderr
in addition to logfiles. This flag obsoletes --alsologtostderr.)
type: int32 default: 2
-stop_logging_if_full_disk (Stop attempting to log to disk if the disk is
full.) type: bool default: false
Flags from src/utilities.cc:
-symbolize_stacktrace (Symbolize the stack trace in the tombstone)
type: bool default: true
Flags from src/vlog_is_on.cc:
-v (Show all VLOG(m) messages for m <= this. Overridable by --vmodule.)
type: int32 default: 0
-vmodule (per-module verbose level. Argument is a comma-separated list of
<module name>=<log level>. <module name> is a glob pattern, matched
against the filename base (that is, name ignoring .cc/.h./-inl.h). <log
level> overrides any value given by --v.) type: string default:
オプションを指定して、保存しましょう。
/openpose$ ./build/examples/openpose/openpose.bin --image_dir examples/media/ -write_images write_images -write_images_format png
これで、 write_images ディレクトリに、加工済みの画像が保存されます。
