Create videos from the API

scripts/depthmap_api.py

@@ -1,7 +1,8 @@
-# Non-public API. Don't host publicly - SECURITY RISKS!
-# (will only be on with --api starting option)
-# Currently no API stability guarantees are provided - API may break on any new commit.
+# DO NOT HOST PUBLICLY - SECURITY RISKS!
+# (the API will only be on with --api starting option)
+# Currently no API stability guarantees are provided - API may break on any new commit (but hopefully won't).
 
+import os
 import numpy as np
 from fastapi import FastAPI, Body
 from fastapi.exceptions import HTTPException
@@ -12,7 +13,7 @@
 from typing import Dict, List
 from modules.api import api
 
-from src.core import core_generation_funnel
+from src.core import core_generation_funnel, run_makevideo
 from src.misc import SCRIPT_VERSION
 from src import backbone
 from src.common_constants import GenerationOptions as go
@@ -70,12 +71,110 @@ async def process(
             if not isinstance(result, Image.Image):
                 continue
             results_based += [encode_to_base64(result)]
+
         return {"images": results_based, "info": "Success"}
 
+    @app.post("/depth/generate/video")
+    async def process_video(
+        depth_input_images: List[str] = Body([], title='Input Images'),
+        options: Dict[str, object] = Body("options", title='Generation options'),
+    ):
+        if len(depth_input_images) == 0:
+            raise HTTPException(status_code=422, detail="No images supplied")
+        print(f"Processing {str(len(depth_input_images))} images trough the API")
+
+        available_models = {
+            'res101': 0,
+            'dpt_beit_large_512': 1, #midas 3.1
+            'dpt_beit_large_384': 2, #midas 3.1
+            'dpt_large_384': 3, #midas 3.0
+            'dpt_hybrid_384': 4, #midas 3.0
+            'midas_v21': 5,
+            'midas_v21_small': 6,
+            'zoedepth_n': 7, #indoor
+            'zoedepth_k': 8, #outdoor
+            'zoedepth_nk': 9,
+        }
+
+        model_type = options["model_type"]
+
+        model_id = None
+        if isinstance(model_type, str):
+            # Check if the string is in the available_models dictionary
+            if model_type in available_models:
+                model_id = available_models[model_type]
+            else:
+                available_strings = list(available_models.keys())
+                raise HTTPException(status_code=400, detail={'error': 'Invalid model string', 'available_models': available_strings})
+        elif isinstance(model_type, int):
+            model_id = model_type
+        else:
+            raise HTTPException(status_code=400, detail={'error': 'Invalid model parameter type'})
+
+        options["model_type"] = model_id
+
+        video_parameters = options["video_parameters"]
+
+        required_params = ["vid_numframes", "vid_fps", "vid_traj", "vid_shift", "vid_border", "dolly", "vid_format", "vid_ssaa", "output_filename"]
+
+        missing_params = [param for param in required_params if param not in video_parameters]
+
+        if missing_params:
+            raise HTTPException(status_code=400, detail={'error': f"Missing required parameter(s): {', '.join(missing_params)}"})
+
+        vid_numframes = video_parameters["vid_numframes"]
+        vid_fps = video_parameters["vid_fps"]
+        vid_traj = video_parameters["vid_traj"]
+        vid_shift = video_parameters["vid_shift"]
+        vid_border = video_parameters["vid_border"]
+        dolly = video_parameters["dolly"]
+        vid_format = video_parameters["vid_format"]
+        vid_ssaa = int(video_parameters["vid_ssaa"])
+
+        output_filename = video_parameters["output_filename"]
+        output_path = os.path.dirname(output_filename)
+        basename, extension = os.path.splitext(os.path.basename(output_filename))
+
+        # Comparing video_format with the extension
+        if vid_format != extension[1:]:
+            raise HTTPException(status_code=400, detail={'error': f"Video format '{vid_format}' does not match with the extension '{extension}'."})
+
+        pil_images = []
+        for input_image in depth_input_images:
+            pil_images.append(to_base64_PIL(input_image))
+        outpath = backbone.get_outpath()
+
+        mesh_fi_filename = video_parameters.get('mesh_fi_filename', None)
+
+        if mesh_fi_filename and os.path.exists(mesh_fi_filename):
+            mesh_fi = mesh_fi_filename
+            print("Loaded existing mesh from: ", mesh_fi)
+        else:
+            # If there is no mesh file generate it.
+            options["GEN_INPAINTED_MESH"] = True
+
+            gen_obj = core_generation_funnel(outpath, pil_images, None, None, options)
+
+            mesh_fi = None
+            for count, type, result in gen_obj:
+                if type == 'inpainted_mesh':
+                    mesh_fi = result
+                    break
+
+            if mesh_fi:
+                print("Created mesh in: ", mesh_fi)
+            else:
+                raise HTTPException(status_code=400, detail={'error': "The mesh has not been created"})
+
+        run_makevideo(mesh_fi, vid_numframes, vid_fps, vid_traj, vid_shift, vid_border, dolly, vid_format, vid_ssaa, output_path, basename)
+
+        return {"info": "Success"}
+
 
 try:
     import modules.script_callbacks as script_callbacks
     if backbone.get_cmd_opt('api', False):
         script_callbacks.on_app_started(depth_api)
+        print("Started the depthmap API. DO NOT HOST PUBLICLY - SECURITY RISKS!")
 except:
     print('DepthMap API could not start')

src/core.py

@@ -578,9 +578,8 @@ def run_3dphoto_videos(mesh_fi, basename, outpath, num_frames, fps, crop_border,
                                                           fnExt=vid_format)
     return fn_saved
 
-
-# called from gen vid tab button
-def run_makevideo(fn_mesh, vid_numframes, vid_fps, vid_traj, vid_shift, vid_border, dolly, vid_format, vid_ssaa):
+def run_makevideo(fn_mesh, vid_numframes, vid_fps, vid_traj, vid_shift, vid_border, dolly, vid_format, vid_ssaa,
+                  outpath=None, basename=None):
     if len(fn_mesh) == 0 or not os.path.exists(fn_mesh):
         raise Exception("Could not open mesh.")
 
@@ -608,20 +607,24 @@ def run_makevideo(fn_mesh, vid_numframes, vid_fps, vid_traj, vid_shift, vid_bord
         raise Exception("Crop Border requires 4 elements.")
     crop_border = [float(borders[0]), float(borders[1]), float(borders[2]), float(borders[3])]
 
-    # output path and filename mess ..
-    basename = Path(fn_mesh).stem
-    outpath = backbone.get_outpath()
-    # unique filename
-    basecount = backbone.get_next_sequence_number(outpath, basename)
-    if basecount > 0: basecount = basecount - 1
-    fullfn = None
-    for i in range(500):
-        fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
-        fullfn = os.path.join(outpath, f"{fn}_." + vid_format)
-        if not os.path.exists(fullfn):
-            break
-    basename = Path(fullfn).stem
-    basename = basename[:-1]
+    if not outpath:
+        outpath = backbone.get_outpath()
+
+    if not basename:
+        # output path and filename mess ..
+        basename = Path(fn_mesh).stem
+
+        # unique filename
+        basecount = backbone.get_next_sequence_number(outpath, basename)
+        if basecount > 0: basecount = basecount - 1
+        fullfn = None
+        for i in range(500):
+            fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
+            fullfn = os.path.join(outpath, f"{fn}_." + vid_format)
+            if not os.path.exists(fullfn):
+                break
+        basename = Path(fullfn).stem
+        basename = basename[:-1]
 
     print("Loading mesh ..")
 
@@ -630,7 +633,6 @@ def run_makevideo(fn_mesh, vid_numframes, vid_fps, vid_traj, vid_shift, vid_bord
 
     return fn_saved[-1], fn_saved[-1], ''
 
-
 def unload_models():
     model_holder.unload_models()