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<!DOCTYPE html>
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<title>Command Line — OpenPifPaf Guide</title>
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<h1>Command Line</h1>
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<section class="tex2jax_ignore mathjax_ignore" id="command-line">
<h1>Command Line<a class="headerlink" href="#command-line" title="Permalink to this headline">#</a></h1>
<p>This is a reference for all the <code class="docutils literal notranslate"><span class="pre">--help</span></code> message from all of OpenPifPaf’s command line interfaces (CLIs).</p>
<section id="predict">
<span id="cli-help-predict"></span><h2>predict<a class="headerlink" href="#predict" title="Permalink to this headline">#</a></h2>
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%</span><span class="k">bash</span>
python3 -m openpifpaf.predict --help
</pre></div>
</div>
</div>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>usage: python3 -m openpifpaf.predict [options] images
Predict poses for given images.
positional arguments:
images input images (default: None)
optional arguments:
-h, --help show this help message and exit
--version show program's version number and exit
--glob GLOB glob expression for input images (for many images)
(default: None)
-o [IMAGE_OUTPUT], --image-output [IMAGE_OUTPUT]
Whether to output an image, with the option to specify
the output path or directory (default: None)
--json-output [JSON_OUTPUT]
Whether to output a json file, with the option to
specify the output path or directory (default: None)
--disable-cuda disable CUDA (default: False)
decoder configuration:
--decoder DECODER [DECODER ...]
Decoders to be considered: ['posesimilarity',
'cifcafdense', 'trackingpose', 'cifcaf', 'cifdet'].
(default: None)
--seed-threshold SEED_THRESHOLD
minimum threshold for seeds (default: 0.2)
--instance-threshold INSTANCE_THRESHOLD
filter instances by score (default is 0.0 with
--force-complete-pose and 0.15 otherwise) (default:
None)
--decoder-workers DECODER_WORKERS
number of workers for pose decoding (default: None)
--profile-decoder [PROFILE_DECODER]
specify out .prof file or nothing for default file
name (default: None)
CifCaf decoders:
--cif-th CIF_TH cif threshold (default: 0.3)
--caf-th CAF_TH caf threshold (default: 0.3)
Decoder for tracking:
--tr-single-pose-threshold TR_SINGLE_POSE_THRESHOLD
Single-pose threshold for tracking. (default: 0.3)
--tr-multi-pose-threshold TR_MULTI_POSE_THRESHOLD
multi-pose threshold for tracking. (default: 0.2)
--tr-multi-pose-n TR_MULTI_POSE_N
multi-pose n for tracking. (default: 3)
--tr-minimum-threshold TR_MINIMUM_THRESHOLD
minimum-pose threshold for tracking. (default: 0.1)
PoseSimilarity:
--posesimilarity-distance {crafted,euclidean,euclidean4,oks}
--posesimilarity-oks-inflate POSESIMILARITY_OKS_INFLATE
CifCafDense decoder:
--dense-connections [DENSE_CONNECTIONS]
trackingpose decoder:
--trackingpose-track-recovery
--trackingpose-single-seed
CifCaf decoder:
--force-complete-pose
--force-complete-caf-th FORCE_COMPLETE_CAF_TH
CAF threshold for force complete. Set to -1 to
deactivate. (default: 0.001)
--nms-before-force-complete
run an additional NMS before completing poses
(default: False)
--keypoint-threshold KEYPOINT_THRESHOLD
filter keypoints by score (default: 0.15)
--keypoint-threshold-rel KEYPOINT_THRESHOLD_REL
filter keypoint connections by relative score
(default: 0.5)
--greedy greedy decoding (default: False)
--connection-method {max,blend}
connection method to use, max is faster (default:
blend)
--cifcaf-block-joints
block joints (default: False)
--no-reverse-match
--ablation-cifseeds-nms
--ablation-cifseeds-no-rescore
--ablation-caf-no-rescore
--ablation-independent-kp
logger:
-q, --quiet only show warning messages or above (default: False)
--debug print debug messages (default: False)
--log-stats enable stats logging (default: False)
MobileNetV3:
--mobilenetv3-no-pretrain
use randomly initialized models (default: True)
shufflenetv2k:
--shufflenetv2k-input-conv2-stride SHUFFLENETV2K_INPUT_CONV2_STRIDE
stride of the optional 2nd input convolution (default:
0)
--shufflenetv2k-input-conv2-outchannels SHUFFLENETV2K_INPUT_CONV2_OUTCHANNELS
out channels of the optional 2nd input convolution
(default: None)
--shufflenetv2k-stage4-dilation SHUFFLENETV2K_STAGE4_DILATION
dilation factor of stage 4 (default: 1)
--shufflenetv2k-kernel SHUFFLENETV2K_KERNEL
kernel width (default: 5)
--shufflenetv2k-conv5-as-stage
--shufflenetv2k-instance-norm
--shufflenetv2k-group-norm
--shufflenetv2k-leaky-relu
MobileNetV2:
--mobilenetv2-no-pretrain
use randomly initialized models (default: True)
ShuffleNetv2:
--shufflenetv2-no-pretrain
use randomly initialized models (default: True)
SwinTransformer:
--swin-drop-path-rate SWIN_DROP_PATH_RATE
drop path (stochastic depth) rate (default: 0.2)
--swin-input-upsample
scales input image by a factor of 2 for higher res
feature maps (default: False)
--swin-use-fpn adds a FPN after the Swin network to obtain higher res
feature maps (default: False)
--swin-fpn-out-channels SWIN_FPN_OUT_CHANNELS
output channels of the FPN (None to use the default
number of channels of the Swin network) (default:
None)
--swin-fpn-level SWIN_FPN_LEVEL
FPN pyramid level, must be between 1 (highest
resolution) and 4 (lowest resolution) (default: 3)
--swin-no-pretrain use randomly initialized models (default: True)
XCiT:
--xcit-out-channels XCIT_OUT_CHANNELS
number of output channels for optional projection
layer (None for no projection layer) (default: None)
--xcit-out-maxpool adds max-pooling to backbone output feature map
(default: False)
--xcit-no-pretrain use randomly initialized models (default: True)
ResNet:
--resnet-no-pretrain use randomly initialized models (default: True)
--resnet-pool0-stride RESNET_POOL0_STRIDE
stride of zero removes the pooling op (default: 0)
--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
stride of the input convolution (default: 2)
--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
stride of the optional 2nd input convolution (default:
0)
--resnet-block5-dilation RESNET_BLOCK5_DILATION
use dilated convs in block5 (default: 1)
--resnet-remove-last-block
create a network without the last block (default:
False)
CompositeField4:
--cf4-dropout CF4_DROPOUT
[experimental] zeroing probability of feature in head
input (default: 0.0)
--cf4-no-inplace-ops alternative graph without inplace ops (default: True)
network configuration:
--checkpoint CHECKPOINT
Path to a local checkpoint. Or provide one of the
following to download a pretrained model:
['shufflenetv2k30-animalpose',
'shufflenetv2k16-apollo-24',
'shufflenetv2k16-apollo-66',
'shufflenetv2k30-apollo-66', 'mobilenetv2',
'mobilenetv3small', 'mobilenetv3large', 'resnet50',
'shufflenetv2k16', 'shufflenetv2k16-withdense',
'shufflenetv2k30', 'mobilenetv3small-cocodet',
'resnet18-cocodet', 'resnet50-crowdpose',
'shufflenetv2k16-nuscenes', 'tshufflenetv2k30',
'shufflenetv2k16-wholebody',
'shufflenetv2k30-wholebody', 'swin_s', 'swin_b',
'swin_t_input_upsample'] (default: None)
--basenet BASENET base network, one of ['mobilenetv2',
'mobilenetv3large', 'mobilenetv3small', 'resnet18',
'resnet50', 'resnet101', 'resnet152', 'resnext50',
'resnext101', 'shufflenetv2x1', 'shufflenetv2x2',
'shufflenetv2k16', 'shufflenetv2k20',
'shufflenetv2kx5', 'shufflenetv2k30',
'shufflenetv2k44', 'squeezenet', 'tshufflenetv2k16',
'tshufflenetv2k30', 'tresnet50', 'cifar10net',
'swin_t', 'swin_s', 'swin_b', 'swin_b_window_12',
'swin_l', 'swin_l_window_12', 'xcit_nano_12_p16',
'xcit_tiny_12_p16', 'xcit_tiny_24_p16',
'xcit_small_12_p16', 'xcit_small_24_p16',
'xcit_medium_24_p16', 'xcit_large_24_p16',
'xcit_nano_12_p8', 'xcit_tiny_12_p8',
'xcit_tiny_24_p8', 'xcit_small_12_p8',
'xcit_small_24_p8', 'xcit_medium_24_p8',
'xcit_large_24_p8', 'effnetv2_s', 'effnetv2_m',
'effnetv2_l', 'effnetv2_xl', 'effnetv2_s16_s',
'effnetv2_s16_m', 'effnetv2_s16_l', 'effnetv2_s16_xl',
'botnet'] (default: None)
--cross-talk CROSS_TALK
[experimental] (default: 0.0)
--no-download-progress
suppress model download progress bar (default: True)
--head-consolidation {keep,create,filter_and_extend}
consolidation strategy for a checkpoint's head
networks and the heads specified by the datamodule
(default: filter_and_extend)
Predictor:
--batch-size BATCH_SIZE
processing batch size (default: 1)
--loader-workers LOADER_WORKERS
number of workers for data loading (default: None)
--long-edge LONG_EDGE
rescale the long side of the image (aspect ratio
maintained) (default: None)
--precise-rescaling use more exact image rescaling (requires scipy)
(default: True)
show:
--save-all [SAVE_ALL]
every plot is saved (optional to specify directory)
(default: None)
--show show every plot, i.e., call matplotlib show()
(default: False)
--image-width IMAGE_WIDTH
image width for matplotlib (in inches) (default: None)
--image-height IMAGE_HEIGHT
image height for matplotlib (in inches) (default:
None)
--image-dpi-factor IMAGE_DPI_FACTOR
increase dpi of output image by this factor (default:
2.0)
--image-min-dpi IMAGE_MIN_DPI
minimum dpi of image output (default: 50.0)
--show-file-extension SHOW_FILE_EXTENSION
default file extension (default: jpeg)
--textbox-alpha TEXTBOX_ALPHA
transparency of annotation text box (default: 0.5)
--text-color TEXT_COLOR
annotation text color (default: white)
--font-size FONT_SIZE
annotation font size (default: 8)
--monocolor-connections
use a single color per instance (default: False)
--line-width LINE_WIDTH
skeleton line width (default: None)
--skeleton-solid-threshold SKELETON_SOLID_THRESHOLD
set to 0.0 to draw all connections as solid lines
(default: 0.5)
--show-box show annotation bounding boxes (default: False)
--white-overlay [WHITE_OVERLAY]
increase contrast to annotations by making image
whiter (default: False)
--show-joint-scales show boxes representing joint sizes (default: False)
--show-joint-confidences
print per-joint confidences on skeleton annotations
(default: False)
--show-decoding-order
--show-frontier-order
--show-only-decoded-connections
to debug which connections were used for decoding
(default: False)
--video-fps VIDEO_FPS
output video frame rate (frames per second) (default:
10)
--video-dpi VIDEO_DPI
output video resolution (dots per inch) (default: 100)
visualizer:
--debug-indices DEBUG_INDICES [DEBUG_INDICES ...]
Indices of fields to create debug plots for of the
form headname:fieldindex, e.g. cif:5. Optionally,
specify the visualization type, e.g. cif:5:hr for the
high resolution plot only. Use comma separation to
specify multiple head names, field indices or
visualization types, e.g. cif:5,6:confidence,hr to
visualize CIF fields 5 and 6 but only show confidence
and hr. (default: [])
</pre></div>
</div>
</div>
</div>
</section>
<section id="video">
<span id="cli-help-video"></span><h2>video<a class="headerlink" href="#video" title="Permalink to this headline">#</a></h2>
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%%</span><span class="k">bash</span>
python3 -m openpifpaf.video --help
</pre></div>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>usage: python3 -m openpifpaf.video [options]
Video demo application.
Use --scale=0.2 to reduce the input image size to 20%.
Use --json-output for headless processing.
Example commands:
python3 -m pifpaf.video --source=0 # default webcam
python3 -m pifpaf.video --source=1 # another webcam
# streaming source
python3 -m pifpaf.video --source=http://127.0.0.1:8080/video
# file system source (any valid OpenCV source)
python3 -m pifpaf.video --source=docs/coco/000000081988.jpg
Trouble shooting:
* MacOSX: try to prefix the command with "MPLBACKEND=MACOSX".
optional arguments:
-h, --help show this help message and exit
--version show program's version number and exit
--source SOURCE OpenCV source url. Integer for webcams. Or ipwebcam
urls (rtsp/rtmp). Use "screen" for screen grabs.
(default: 0)
--video-output [VIDEO_OUTPUT]
video output file or "virtualcam" (default: None)
--json-output [JSON_OUTPUT]
json output file (default: None)
--separate-debug-ax
--disable-cuda disable CUDA (default: False)
ResNet:
--resnet-no-pretrain use randomly initialized models (default: True)
--resnet-pool0-stride RESNET_POOL0_STRIDE
stride of zero removes the pooling op (default: 0)
--resnet-input-conv-stride RESNET_INPUT_CONV_STRIDE
stride of the input convolution (default: 2)
--resnet-input-conv2-stride RESNET_INPUT_CONV2_STRIDE
stride of the optional 2nd input convolution (default:
0)
--resnet-block5-dilation RESNET_BLOCK5_DILATION
use dilated convs in block5 (default: 1)
--resnet-remove-last-block
create a network without the last block (default:
False)
ShuffleNetv2:
--shufflenetv2-no-pretrain
use randomly initialized models (default: True)
SwinTransformer:
--swin-drop-path-rate SWIN_DROP_PATH_RATE
drop path (stochastic depth) rate (default: 0.2)
--swin-input-upsample
scales input image by a factor of 2 for higher res
feature maps (default: False)
--swin-use-fpn adds a FPN after the Swin network to obtain higher res
feature maps (default: False)
--swin-fpn-out-channels SWIN_FPN_OUT_CHANNELS
output channels of the FPN (None to use the default
number of channels of the Swin network) (default:
None)
--swin-fpn-level SWIN_FPN_LEVEL
FPN pyramid level, must be between 1 (highest
resolution) and 4 (lowest resolution) (default: 3)
--swin-no-pretrain use randomly initialized models (default: True)
XCiT:
--xcit-out-channels XCIT_OUT_CHANNELS
number of output channels for optional projection
layer (None for no projection layer) (default: None)
--xcit-out-maxpool adds max-pooling to backbone output feature map
(default: False)
--xcit-no-pretrain use randomly initialized models (default: True)
MobileNetV3:
--mobilenetv3-no-pretrain
use randomly initialized models (default: True)
MobileNetV2:
--mobilenetv2-no-pretrain
use randomly initialized models (default: True)
shufflenetv2k:
--shufflenetv2k-input-conv2-stride SHUFFLENETV2K_INPUT_CONV2_STRIDE
stride of the optional 2nd input convolution (default:
0)
--shufflenetv2k-input-conv2-outchannels SHUFFLENETV2K_INPUT_CONV2_OUTCHANNELS
out channels of the optional 2nd input convolution
(default: None)
--shufflenetv2k-stage4-dilation SHUFFLENETV2K_STAGE4_DILATION
dilation factor of stage 4 (default: 1)
--shufflenetv2k-kernel SHUFFLENETV2K_KERNEL
kernel width (default: 5)
--shufflenetv2k-conv5-as-stage
--shufflenetv2k-instance-norm
--shufflenetv2k-group-norm
--shufflenetv2k-leaky-relu
CompositeField4:
--cf4-dropout CF4_DROPOUT
[experimental] zeroing probability of feature in head
input (default: 0.0)