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 -logfile_mode (Log file mode/permissions.) type: int32 default: 436 -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 =. is a glob pattern, matched against the filename base (that is, name ignoring .cc/.h./-inl.h). overrides any value given by --v.) type: string default: "" Flags from /build/gflags-WDCpEz/gflags-2.2.2/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 /build/gflags-WDCpEz/gflags-2.2.2/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 /build/gflags-WDCpEz/gflags-2.2.2/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 /home/mmcwilliams/src/openpose/include/openpose/flags.hpp: -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 max(2, min(4, #cameras-1)) cameras to see the keypoint in order to reconstruct it.) type: int32 default: -1 -3d_views (Complementary option for `--image_dir` or `--video`. OpenPose will read as many images per iteration, allowing tasks such as stereo camera processing (`--3d`). Note that `--camera_parameter_path` 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 (Select 0 to disable body keypoint detection (e.g., for faster but less accurate face keypoint detection, custom hand detector, etc.), 1 (default) for body keypoint estimation, and 2 to disable its internal body pose estimation network but still still run the greedy association parsing algorithm) type: int32 default: 1 -caffemodel_path (The combination `--model_folder` + `--caffemodel_path` represents the whole path to the caffemodel file. If empty, it will use the default OpenPose CaffeModel file.) type: string default: "" -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_parameter_path (String with the folder where the camera parameters are located. If there is only 1 XML file (for single video, webcam, or images from the same camera), you must specify the whole XML file path (ending in .xml).) 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" -cli_verbose (If -1, it will be disabled (default). If it is a positive integer number, it will print on the command line every `verbose` frames. If number in the range (0,1), it will print the progress every `verbose` times the total of frames.) type: double default: -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 increase 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_detector (Kind of face rectangle detector. Select 0 (default) to select OpenPose body detector (most accurate one and fastest one if body is enabled), 1 to select OpenCV face detector (not implemented for hands), 2 to indicate that it will be provided by the user, or 3 to also apply hand tracking (only for hand). Hand tracking might improve hand keypoint 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: int32 default: 0 -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 -flir_camera_index (Select -1 (default) to run on all detected flir cameras at once. Otherwise, select the flir camera index to run, where 0 corresponds to the detected flir camera with the lowest serial number, and `n` to the `n`-th lowest serial number camera.) type: int32 default: -1 -fps_max (Maximum processing frame rate. By default (-1), OpenPose will process frames as fast as possible. Example usage: If OpenPose is displaying images too quickly, this can reduce the speed so the user can analyze better each frame from the GUI.) type: double default: -1 -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 -frame_step (Step or gap between processed frames. E.g., `--frame_step 5` would read and process frames 0, 5, 10, etc..) type: uint64 default: 1 -frame_undistort (If false (default), it will not undistort the image, if true, it will undistortionate them based on the camera parameters found in `camera_parameter_path`) type: bool default: false -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_detector (Kind of hand rectangle detector. Analogous to `--face_detector`.) type: int32 default: 0 -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 -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 (Experimental, not available yet. Whether to enable people identification across frames.) type: bool default: false -ik_threads (Experimental, not available yet. Whether to enable inverse kinematics (IK) from 3-D keypoints to obtain 3-D joint angles. By default (0 threads), it is disabled. Increasing the number of threads will increase the speed but also the global system latency.) type: int32 default: 0 -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_json` & `write_keypoint` 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], where (0,0) would be the top-left corner of the image, and (1,1) the bottom-right one; and 4 for range [-1,1], where (-1,-1) would be the top-left corner of the image, and (1,1) the bottom-right one. 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 opLog() 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 -maximize_positives (It reduces the thresholds to accept a person candidate. It highly increases both false and true positives. I.e., it maximizes average recall but could harm average precision.) type: bool default: false -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., `BODY_25` (fastest for CUDA version, most accurate, and includes foot keypoints), `COCO` (18 keypoints), `MPI` (15 keypoints, least accurate model but fastest on CPU), `MPI_4_layers` (15 keypoints, even faster but less accurate).) type: string default: "BODY_25" -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" -net_resolution_dynamic (This flag only applies to images or custom inputs (not to video or webcam). If it is zero or a negative value, it means that using `-1` in `net_resolution` will behave as explained in its description. Otherwise, and to avoid out of memory errors, the `-1` in `net_resolution` will clip to this value times the default 16/9 aspect ratio value (which is 656 width for a 368 height). E.g., `net_resolution_dynamic 10 net_resolution -1x368` will clip to 6560x368 (10 x 656). Recommended 1 for small GPUs (to avoid out of memory errors but maximize speed) and 0 for big GPUs (for maximum accuracy and speed).) type: double default: 1 -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: 0 (default) for all the body parts, 1 for the background heat map, 2 for the superposition of heatmaps, 3 for the superposition of PAFs, 4-(4+#keypoints) for each body part heat map, the following ones 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 -prototxt_path (The combination `--model_folder` + `--prototxt_path` represents the whole path to the prototxt file. If empty, it will use the default OpenPose ProtoTxt file.) type: string default: "" -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. Note: Rendered refers only to visual display in the OpenPose basic GUI, not in the saved results. 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: 0.25 -scale_number (Number of scales to average.) type: int32 default: 1 -tracking (Experimental, not available yet. Whether to enable people tracking across frames. The value indicates the number of frames where tracking is run between each OpenPose keypoint detection. Select -1 (default) to disable it or 0 to run simultaneously OpenPose keypoint detector and tracking for potentially higher accuracy than only OpenPose.) type: int32 default: -1 -udp_host (Experimental, not available yet. IP for UDP communication. E.g., `192.168.0.1`.) type: string default: "" -udp_port (Experimental, not available yet. Port number for UDP communication.) type: string default: "8051" -upsampling_ratio (Upsampling ratio between the `net_resolution` and the output net results. A value less or equal than 0 (default) will use the network default value (recommended).) type: double default: 0 -video (Use a video file instead of the camera. Use `examples/media/video.avi` for our default example video.) type: string default: "" -write_bvh (Experimental, not available yet. E.g., `~/Desktop/mocapResult.bvh`.) type: string default: "" -write_coco_json (Full file path to write people pose data with JSON COCO validation format. If foot, face, hands, etc. JSON is also desired (`--write_coco_json_variants`), they are saved with different file name suffix.) type: string default: "" -write_coco_json_variant (Currently, this option is experimental and only makes effect on car JSON generation. It selects the COCO variant for cocoJsonSaver.) type: int32 default: 0 -write_coco_json_variants (Add 1 for body, add 2 for foot, 4 for face, and/or 8 for hands. Use 0 to use all the possible candidates. E.g., 7 would mean body+foot+face COCO JSON.) type: int32 default: 1 -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. See `doc/02_output.md` for more details.) 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_json` instead.) type: string default: "yml" -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. Flag `write_video_fps` controls FPS. Alternatively, the video extension can be `.mp4`, resulting in a file with a much smaller size and allowing `--write_video_with_audio`. However, that would require: 1) Ubuntu or Mac system, 2) FFmpeg library installed (`sudo apt-get install ffmpeg`), 3) the creation temporarily of a folder with the same file path than the final video (without the extension) to storage the intermediate frames that will later be used to generate the final MP4 video.) type: string default: "" -write_video_3d (Analogous to `--write_video`, but applied to the 3D output.) type: string default: "" -write_video_adam (Experimental, not available yet. Analogous to `--write_video`, but applied to Adam model.) type: string default: "" -write_video_fps (Frame rate for the recorded video. By default, it will try to get the input frames producer frame rate (e.g., input video or webcam frame rate). If the input frames producer does not have a set FPS (e.g., image_dir or webcam if OpenCV not compiled with its support), set this value accordingly (e.g., to the frame rate displayed by the OpenPose GUI).) type: double default: -1 -write_video_with_audio (If the input is video and the output is so too, it will save the video with audio. It requires the output video file path finishing in `.mp4` format (see `write_video` for details).) type: bool default: false