[fix] bug - adding default vcm_mode argument for remote inference pipeline

Author: chyomin06

cfgs/codec/fctm.yaml

@@ -27,14 +27,17 @@ enc_configs:
 
 tools:
   feature_reduction: # reserved for restoration part as well
-    type: 'pre-trained' # or 'bypass'
-    qidx: 6 # Learned based feature tensor reduction (m66341)
-    split_ctx: "obj" # or "seg" # or "alt1" or "dn53"
-    temporal_resampling_enabled: False
-    # To properly enable Temporal resampling (m67615),
+    type: 'pre-trained' # by default # or 'bypass'
+    learned_model:
+      name: 'light_fedrnet' # fedrnet (m66341) light_fedrnet (m71247)
+      selective_learning_strategy: False # to (m71203) be True by default for FCTM v6.1.0
+      split_ctx: "obj" # or "seg" # or "alt1" or "dn53"
+
+    range_based_channel_truncation: False # (m71203) to be True by default for FCTM v6.1.0
+    temporal_resampling_enabled: False # (m67615)
+    # To properly enable Temporal resampling ,
     # temporal_resampling_enabled = True and
     # "cfgs/codec/vtm-23.3/encoder_lowdelay_vtm_gop4.cfg" must be used
-    intra_period: ${codec.enc_configs.intra_period} # as reference
 
   refinements:
     on_restored_ftensor:
@@ -58,4 +61,4 @@ tools:
       dec_exe: "${._root}/bin/DecoderAppStatic" # or TappDecoderStatic, ldecod...
       merge_exe: "${._root}/bin/parcatStatic"
       cfg_file: "${._root}/cfg/encoder_intra_vtm.cfg"
-      default_cfg_file: "${._root}/cfg/encoder.cfg"
+      default_cfg_file: "${._root}/cfg/encoder.cfg"

cfgs/pipeline/remote_inference.yaml

@@ -25,6 +25,7 @@ codec:
     skip_n_frames: 0 # This is encoder only option
     n_frames_to_be_encoded: -1  #(-1 = encode all input), This is encoder only option
     measure_complexity: "${codec.mac_computation}"
+    vcm_mode: False
 nn_task:
     dump_results: False
     output_results_dir: "${codec.output_dir}/output_results"

compressai_vision/pipelines/remote_inference/image_remote_inference.py

@@ -141,7 +141,8 @@ def __call__(
                 self.codec_output_dir,
                 file_prefix,
                 org_img_size,
-                True,
+                remote_inference=True,
+                vcm_mode=self.configs["codec"]["vcm_mode"],
             )
             end = time_measure()
             timing["decode"].append((end - start))

scripts/evaluation/hieve/eval_on_hieve_vcmrs.sh

@@ -93,8 +93,9 @@ echo "==========================================================================
 
 compressai-${PIPELINE}-inference --config-name=${CONF_NAME} \
         ++pipeline.type=video \
+        ++pipeline.codec.vcm_mode=True \
         ++paths._run_root=${OUTPUT_DIR} \
-	++vision_model.arch=jde_1088x608 \
+        ++vision_model.arch=jde_1088x608 \
         ++vision_model.jde_1088x608.splits="[105, 90, 75]" \
         ++dataset.type=TrackingDataset \
         ++dataset.datacatalog=MPEGHIEVE \

scripts/evaluation/mpeg_oiv6/eval_on_mpeg_oiv6_vcmrs.sh

@@ -85,6 +85,7 @@ echo "==========================================================================
 
 compressai-${PIPELINE}-inference --config-name=${CONF_NAME} \
         ++pipeline.type=image \
+        ++pipeline.codec.vcm_mode=True \
         ++paths._run_root=${OUTPUT_DIR} \
         ++vision_model.arch=${NETWORK_MODEL} \
         ++dataset.type=Detectron2Dataset \

scripts/evaluation/tvd/eval_on_tvd_vcmrs.sh

@@ -88,8 +88,9 @@ echo "==========================================================================
 
 compressai-${PIPELINE}-inference --config-name=${CONF_NAME} \
         ++pipeline.type=video \
+        ++pipeline.codec.vcm_mode=True \
         ++paths._run_root=${OUTPUT_DIR} \
-	++vision_model.arch=jde_1088x608 \
+        ++vision_model.arch=jde_1088x608 \
         ++vision_model.jde_1088x608.splits="[36, 61, 74]" \
         ++dataset.type=TrackingDataset \
         ++dataset.datacatalog=MPEGTVDTRACKING \